FUZZY ANALYTIC HIERARCHY PROCESS: A COMPREHENSIVE LITERATURE REVIEW
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Published
Oct 6, 2025
Monzer Alharairi
Saman Hassanzadeh Amin
Saeed Zolfaghari
Liping Fang
Abstract
This literature review explores the advancements and applications of Fuzzy Analytic Hierarchy Process (FAHP) technique between 2019 and 2024, in addition to the studies that combined or compared FAHP with other methods. FAHP integrates Analytic Hierarchy Process (AHP) with fuzzy set theory to manage uncertainty and imprecision in Multi-Criteria Decision-Making (MCDM) problems. This review covers 85 papers from prominent journals using well-known databases. It introduces a novel taxonomy that categorizes FAHP research into three main categories: outcome types, methodological variations, and application domains, with further subcategories explained in this paper. This paper highlights diverse applications of FAHP across many fields and domains, proving FAHP’s effectiveness in addressing complex decision problems. Observations reveal FAHP’s strength in uncertain problems, while gaps in the literature call for further exploration in less applied fields like agriculture and healthcare. Other future research directions also are discussed in this paper.
How to Cite
Alharairi, M., Amin , S. H., Zolfaghari , S., & Fang, L. (2025). FUZZY ANALYTIC HIERARCHY PROCESS: A COMPREHENSIVE LITERATURE REVIEW . International Journal of the Analytic Hierarchy Process, 17(3). https://doi.org/10.13033/ijahp.v17i3.1311
Downloads
Download data is not yet available.
##plugins.themes.bootstrap3.article.details##
Keywords
Fuzzy Analytic Hierarchy Process (FAHP), Fuzzy AHP, Multi-Criteria Decision-Making (MCDM)
References
Abdul, D., Wenqi, J., & Sameeroddin, M. (2023). Prioritization of ecopreneurship barriers overcoming renewable energy technologies promotion: A comparative analysis of novel spherical fuzzy and Pythagorean fuzzy AHP approach. Technological Forecasting and Social Change, 186, 122133. https://doi.org/10.1016/j.techfore.2022.122133
Al-Araidah, O., Hayajneh, M. T., & Al-Rwabdah, R. A. (2020). Desalination membrane selection using group fuzzy analytical hierarchy process. Desalin. WATER Treat, 174, 79-89. https://doi.org/10.5004/dwt.2020.24873
Alhadidi, T. I., & Alomari, A. H. (2024). A FAHP-VIKOR model for evaluating single point interchange operational performance. Expert Systems with Applications, 248, 123386. https://doi.org/10.1016/j.eswa.2024.123386
Aliabadi, V., Ataei, P., Gholamrezai, S., & Aazami, M. (2019). Components of sustainability of entrepreneurial ecosystems in knowledge-intensive enterprises: The application of fuzzy analytic hierarchy process. Small Enterprise Research, 26(3), 288–306. https://doi.org/10.1080/13215906.2019.1671215
Arman, H. (2023). Fuzzy analytic hierarchy process for pentagonal fuzzy numbers and its application in sustainable supplier selection. Journal of Cleaner Production, 409, 137190. https://doi.org/10.1016/j.jclepro.2023.137190
Ashour, M., Mahdiyar, A., Haron, S. H., & Hanafi, M. H. (2022). Barriers to the practice of sustainable interior architecture and design for interior renovations: A Parsimonious-Cybernetic Fuzzy AHP approach. Journal of Cleaner Production, 366, 132958. https://doi.org/10.1016/j.jclepro.2022.132958
Ayalew, G. G., Meharie, M. G., & Worku, B. (2022). A road maintenance management strategy evaluation and selection model by integrating Fuzzy AHP and Fuzzy TOPSIS methods: The case of Ethiopian Roads Authority. Cogent Engineering, 9(1), 2146628. https://doi.org/10.1080/23311916.2022.2146628
Ayalew, G. G., Ayalew, G. M., & Meharie, M. G. (2023). Integrating exploratory factor analysis and fuzzy AHP models for assessing the factors affecting the performance of building construction projects: The case of Ethiopia. Cogent Engineering, 10(1), 2243724. https://doi.org/10.1080/23311916.2023.2243724
Ayyildiz, E., Yildiz, A., Taskin, A., & Ozkan, C. (2023). An interval valued Pythagorean fuzzy AHP integrated quality function deployment methodology for hazelnut production in Turkey. Expert Systems with Applications, 231, 120708. https://doi.org/10.1016/j.eswa.2023.120708
Azari, A., Nabizadeh, R., Mahvi, A. H., & Nasseri, S. (2022). Integrated Fuzzy AHP-TOPSIS for selecting the best color removal process using carbon-based adsorbent materials: multi-criteria decision making vs. systematic review approaches and modeling of textile wastewater treatment in real conditions. International Journal of Environmental Analytical Chemistry, 102(18), 7329–7344. https://doi.org/10.1080/03067319.2020.1828395
Bakhtari, A. R., Waris, M. M., Sanin, C., & Szczerbicki, E. (2021). Evaluating industry 4.0 implementation challenges using interpretive structural modeling and fuzzy analytic hierarchy process. Cybernetics and Systems, 52(5), 350-378. https://doi.org/10.1080/01969722.2020.1871226
Bansal, N., Sharma, A., & Singh, R. K. (2019). Fuzzy AHP approach for legal judgement summarization. Journal of Management Analytics, 6(3), 323–340. https://doi.org/10.1080/23270012.2019.1655672
Bostancioglu, E. (2021). Double skin façade assessment by fuzzy AHP and comparison with AHP. Architectural Engineering and Design Management, 17(1-2), 110–130. https://doi.org/10.1080/17452007.2020.1735292
Buran, B., & Erçek, M. (2022). Public transportation business model evaluation with Spherical and Intuitionistic Fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 204, 117519. https://doi.org/10.1016/j.eswa.2022.117519
Candan, G., & Cengiz Toklu, M. (2022). Sustainable industrialization performance evaluation of European Union countries: an integrated spherical fuzzy analytic hierarchy process and grey relational analysis approach. International Journal of Sustainable Development & World Ecology, 29(5), 387–400. https://doi.org/10.1080/13504509.2022.2027293
Castelló-Sirvent, F., Meneses-Eraso, C., Alonso-Gómez, J., & Peris-Ortiz, M. (2022). Three decades of fuzzy AHP: A bibliometric analysis. Axioms, 11(10), 525. https://doi.org/10.3390/axioms11100525
Chan, H. K., Sun, X., & Chung, S. H. (2019). When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process?. Decision Support Systems, 125, 113114. https://doi.org/10.1016/j.dss.2019.113114
Chen, C., Zheng, K., Wang, Y., Li, J., Liu, X., Zheng, X., & Yu, Y. (2022a). Microscope usability evaluation based on Fuzzy Analytic Hierarchy Process. Mathematical Problems in Engineering, 2022(1), 8643221. https://doi.org/10.1155/2022/8643221
Chen, T., & Wu, H. C. (2021). Fuzzy collaborative intelligence fuzzy analytic hierarchy process approach for selecting suitable three-dimensional printers. Soft Computing, 25, 4121–4134. https://doi.org/10.1007/s00500-020-05436-z
Chen, X., Fang, Y., Chai, J., & Xu, Z. (2022b). Does intuitionistic fuzzy analytic hierarchy process work better than analytic hierarchy process? International Journal of Fuzzy Systems, 24(2), 909–924. https://doi.org/10.1007/s40815-021-01163-1
Coffey, L., & Claudio, D. (2021). In defense of group fuzzy AHP: A comparison of group fuzzy AHP and group AHP with confidence intervals. Expert Systems with Applications, 178, 114970. https://doi.org/10.1016/j.eswa.2021.114970
Dağıdır, B. D., & Özkan, B. (2024). A comprehensive evaluation of a company performance using sustainability balanced scorecard based on picture fuzzy AHP. Journal of Cleaner Production, 435, 140519. https://doi.org/10.1016/j.jclepro.2023.140519
Das, S., Adhikary, P. P., Shit, P. K., & Bera, B. (2022). Assessment of wetland health dynamics: Comparing fuzzy- AHP and composite indexing methods in an urban agglomeration in east India. Geocarto International, 37(27), 16437–16461. https://doi.org/10.1080/10106049.2022.2109759
Dasari, S., & Gupta, S. (2023). Application of fuzzy analytical hierarchy process to develop walkability index: a case study of Dwarka sub city, New Delhi, India. Urban, Planning and Transport Research, 11(1). https://doi.org/10.1080/21650020.2023.2278875
Dhingra, T., Sengar, A., & Sajith, S. (2022). A fuzzy analytic hierarchy process-based analysis for prioritization of barriers to offshore wind energy. Journal of Cleaner Production, 345, 131111. https://doi.org/10.1016/j.jclepro.2022.131111
Dhumras, H., & Bajaj, R. K. (2024). On potential strategic framework for green supply chain management in the energy sector using q-rung picture fuzzy AHP & WASPAS decision-making model. Expert Systems with Applications, 237, 121550. https://doi.org/10.1016/j.eswa.2023.121550
Dogan, O. (2021). Process mining technology selection with spherical fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 178, 114999. https://doi.org/10.1016/j.eswa.2021.114999
Dong, J., Ju, Y., Dong, P., Giannakis, M., Wang, A., Liang, Y., & Wang, H. (2021). Evaluate and select state-owned enterprises with sustainable high-quality development capacity by integrating FAHP-LDA and bidirectional projection methods. Journal of Cleaner Production, 329, 129771. https://doi.org/10.1016/j.jclepro.2021.129771
Fidan, F. Ş., Aydoğan, E. K., & Uzal, N. (2021). Multi-dimensional Sustainability Evaluation of Indigo Rope Dyeing with a life cycle approach and hesitant fuzzy analytic hierarchy process. Journal of Cleaner Production, 309, 127454. https://doi.org/10.1016/j.jclepro.2021.127454
Fu, X. L., Ni, H., Zhou, A., Jiang, Z. Y., Jiang, N. J., & Du, Y. J. (2023). An integrated fuzzy AHP and fuzzy TOPSIS approach for screening backfill materials for contaminant containment in slurry trench cutoff walls. Journal of Cleaner Production, 419, 138242. https://doi.org/10.1016/j.jclepro.2023.138242
Getawa Ayalew, G., Admasu Alemneh, L., & Melkamu Ayalew, G. (2024). Exploring fuzzy AHP approaches for quality management control practices in public building construction projects. Cogent Engineering, 11(1), 2326765. https://doi.org/10.1080/23311916.2024.2326765
Gupta, N., & Lee, S. H. (2023). Trapezoidal interval type-2 fuzzy analytical hierarchy process technique for biophilic element/design selection in lodging industry. Journal of the Operational Research Society, 74(7), 1613–1627. https://doi.org/10.1080/01605682.2022.2102943
Hashim, M., Nazam, M., Abrar, M., Hussain, Z., Nazim, M., Shabbir, R., & Tan, A. W. K. (2021). Unlocking the Sustainable Production Indicators: A Novel TESCO based Fuzzy AHP Approach. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2020.1870807
Ho, J. Y., Ooi, J., Wan, Y. K., & Andiappan, V. (2021). Synthesis of wastewater treatment process (WWTP) and supplier selection via Fuzzy Analytic Hierarchy Process (FAHP). Journal of Cleaner Production, 314, 128104. https://doi.org/10.1016/j.jclepro.2021.128104
Huang, S. H. S., Hsu, W. K. K., & Chen, J. W. (2020). A safety evaluation system based on a revised fuzzy AHP for dangerous goods in airfreights. Journal of Transportation Safety & Security, 12(5), 611–627. https://doi.org/10.1080/19439962.2018.1519624
Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and applications a state-of-the-art survey. Springer-Verlag.
Jawad, M., Naz, M., & Muqaddus, H. (2023). A multi-criteria decision-making approach for portfolio selection by using an automatic spherical fuzzy AHP algorithm. Journal of the Operational Research Society, 75(1), 85–98. https://doi.org/10.1080/01605682.2023.2174905
Jbaihi, O., Ouchani, F. Z., Ghennioui, A., Ferfra, M., & Cherkaoui, M. (2024). Technical potential appraisal and optimal site screening comparing AHP and fuzzy AHP methods for large-scale CSP plants: A GIS-MCDM approach in Morocco. Sustainable Energy Technologies and Assessments, 68, 103877. https://doi.org/10.1016/j.seta.2024.103877
Kahraman, C. (2024). Proportional picture fuzzy sets and their AHP extension: Application to waste disposal site selection. Expert Systems with Applications, 238, 122354. https://doi.org/10.1016/j.eswa.2023.122354
Karatop, B., Taşkan, B., Adar, E., & Kubat, C. (2021). Decision analysis related to the renewable energy investments in Turkey based on a Fuzzy AHP-EDAS-Fuzzy FMEA approach. Computers & Industrial Engineering, 151, 106958. https://doi.org/10.1016/j.cie.2020.106958
Kaya, N. S., Pacci, S., Demirağ Turan, I., Odabas, M. S., & Dengiz, O. (2023). Comparing geographic information systems-based fuzzy-analytic hierarchical process approach and artificial neural network to characterize soil erosion risk indexes. Rendiconti Lincei. Scienze Fisiche e Naturali, 34(4), 1089–1104. https://doi.org/10.1007/s12210-023-01201-0
Kazemi, F., Bahrami, A., & Sharif, J. A. (2020). Mineral processing plant site selection using integrated fuzzy cognitive map and fuzzy analytical hierarchy process approach: A case study of gilsonite mines in Iran. Minerals engineering, 147, 106143. https://doi.org/10.1016/j.mineng.2019.106143
Khoshand, A., Khanlari, K., Abbasianjahromi, H., & Zoghi, M. (2020). Construction and demolition waste management: Fuzzy Analytic Hierarchy Process approach. Waste Management & Research, 38(7), 773–782. https://doi.org/10.1177/0734242x20910468
Kinay, A. O., & Tezel, B. T. (2022). Modification of the fuzzy analytic hierarchy process via different ranking methods. International Journal of Intelligent Systems, 37(1), 336–364. https://doi.org/10.1002/int.22628
Kong, H. Q., & Zhang, N. (2024). Risk assessment of water inrush accident during tunnel construction based on FAHP-I-TOPSIS. Journal of Cleaner Production, 449, 141744. https://doi.org/10.1016/j.jclepro.2024.141744
Kumar, M., Singh, P., & Singh, P. (2022). Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India. Geocarto International, 37(22), 6671–6694. https://doi.org/10.1080/10106049.2021.1946170
Kutlu Gündoğdu, F., & Kahraman, C. (2020). A novel spherical fuzzy analytic hierarchy process and its renewable energy application. Soft Computing, 24, 4607–4621. https://doi.org/10.1007/s00500-019-04222-w
Lakshmi, K. V., & Kumara, K. U. (2024). A novel randomized weighted fuzzy AHP by using modified normalization with the TOPSIS for optimal stock portfolio selection model integrated with an effective sensitive analysis. Expert Systems with Applications, 243, 122770. https://doi.org/10.1016/j.eswa.2023.122770
Lallam, M., Djebli, A., & Mammeri, A. (2023). Fuzzy Analytical Hierarchy Process for assessing damage in old msonry buildings: A case study. International Journal of Architectural Heritage, 1–20. https://doi.org/10.1080/15583058.2023.2295885
Leung, K. H., Lau, H. C., Nakandala, D., Kong, X. T., & Ho, G. T. (2021). Standardising fresh produce selection and grading process for improving quality assurance in perishable food supply chains: an integrated Fuzzy AHP-TOPSIS framework. Enterprise Information Systems, 15(5), 651–675. https://doi.org/10.1080/17517575.2020.1790041
Li, L., Tong, J., Wang, H., Ren, R., Xiong, L., & Wang, J. (2023). Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model. Medicine, 102(44), e35752. https://doi.org/10.1097/md.0000000000035752
Liu, J., Yin, Y., & Yan, S. (2019). Research on clean energy power generation-energy storage-energy using virtual enterprise risk assessment based on fuzzy analytic hierarchy process in China. Journal of Cleaner Production, 236, 117471. https://doi.org/10.1016/j.jclepro.2019.06.302
Liu, Y., Eckert, C. M., & Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judgments. Expert Systems with Applications, 161, 113738. https://doi.org/10.1016/j.eswa.2020.113738
Lorio, C. T., Opiso, E. M., Resabal, V. J. T., Bernardo-Arugay, I., Ortenero, J. R., Beltran, A. B., ... & Promentilla, M. A. B. (2023). Optimal treatment technology selection for acid mine drainage via spherical fuzzy analytic hierarchy process. Minerals Engineering, 202, 108260. https://doi.org/10.1016/j.mineng.2023.108260
Lyu, H. M., Sun, W. J., Shen, S. L., & Zhou, A. N. (2020). Risk assessment using a new consulting process in fuzzy AHP. Journal of Construction Engineering and Management, 146(3), 04019112. https://doi.org/10.1061/(asce)co.1943-7862.0001757
Majumdar, A., Sinha, S. K., Shaw, M., & Mathiyazhagan, K. (2020). Analysing the vulnerability of green clothing supply chains in South and Southeast Asia using fuzzy analytic hierarchy process. International Journal of Production Research, 59(3), 752–771. https://doi.org/10.1080/00207543.2019.1708988
Moktadir, A., Rahman, T., Jabbour, C. J. C., Ali, S. M., & Kabir, G. (2018). Prioritization of drivers of corporate social responsibility in the footwear industry in an emerging economy: A fuzzy AHP approach. Journal of cleaner production, 201, 369–381. https://doi.org/10.1016/j.jclepro.2018.07.326
Mostafa, M., Hatami, N., Espahbodi, K., & Asadi, F. (2022). Fuzzy Analytic Hierarchy Process (FAHP) applied to evaluating the forest management approaches. Journal of Forest Science, 68(7), 263–276. https://doi.org/10.17221/27/2022-JFS
Nazari, S., Fallah, M., Kazemipoor, H., & Salehipour, A. (2018). A fuzzy inference-fuzzy analytic hierarchy process-based clinical decision support system for diagnosis of heart diseases. Expert Systems with Applications, 95, 261–271. https://doi.org/10.1016/j.eswa.2017.11.001
Olabanji, O. M., & Mpofu, K. (2020). Hybridized fuzzy analytic hierarchy process and fuzzy weighted average for identifying optimal design concept. Heliyon, 6(1). https://doi.org/10.1016/j.heliyon.2020.e03182
Past, V., Yaghmaeian, K., Naderi, M., & Naderi, N. (2023). Management of the construction and demolition waste (CDW) and determination of the best disposal alternative by FAHP (Fuzzy Analytic Hierarchy Process): A case study of Tehran, Iran. Journal of the Air & Waste Management Association, 73(4), 271–284. https://doi.org/10.1080/10962247.2023.2178542
Rabia, M. A. B., & Bellabdaoui, A. (2023). Collaborative intuitionistic fuzzy-AHP to evaluate simulation-based analytics for freight transport. Expert Systems with Applications, 225, 120116. https://doi.org/10.1016/j.eswa.2023.120116
Raja, S., Praveenkumar, V., Rusho, M. A., & Yishak, S. (2024). Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach. Results in Engineering, 24, 103018. https://doi.org/10.1016/j.rineng.2024.103018
Rajput, L., Beg, I., & Kumar, S. (2024). Spherical fuzzy analytic hierarchy process and linear assignment model based MCGDM method with its application in ranking of states for their business climate. Expert Systems with Applications, 238, 122247. https://doi.org/10.1016/j.eswa.2023.122247
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, priority setting, resource allocation. McGraw-Hill.
Sakhardande, M. J., & Gaonkar, R. S. P. (2022). On solving large data matrix problems in Fuzzy AHP. Expert Systems with Applications, 194, 116488. https://doi.org/10.1016/j.eswa.2021.116488
Salari, S., Sadeghi-Yarandi, M., & Golbabaei, F. (2024). An integrated approach to occupational health risk assessment of manufacturing nanomaterials using Pythagorean fuzzy AHP and fuzzy inference system. Scientific Reports, 14(1), 180. https://doi.org/10.1038/s41598-023-48885-w
Sam’an, M., Dasril, Y., & Muslim, M. A. (2021). The new Fuzzy Analytical Hierarchy Process with Interval Type-2 Trapezoidal Fuzzy Sets and its Application. Fuzzy Information and Engineering, 13(3), 391–419. https://doi.org/10.1080/16168658.2021.1952760
Sarkar, D., & Singh, M. (2021). Development of risk index for mass rapid transit system project in Western India through application of fuzzy analytical hierarchy process (FAHP). International Journal of Construction Management, 21(5), 439–451. https://doi.org/10.1080/15623599.2018.1557997
Shah, S. A. A., Solangi, Y. A., & Ikram, M. (2019). Analysis of barriers to the adoption of cleaner energy technologies in Pakistan using Modified Delphi and Fuzzy Analytical Hierarchy Process. Journal of Cleaner Production, 235, 1037–1050. https://doi.org/10.1016/j.jclepro.2019.07.020
Sharma, V., Sharma, V., & Karwasra, K. (2021). A decision framework for green manufacturing indicators using fuzzy AHP - ELECTRE I: a case study of the steering system manufacturer. International Journal of Sustainable Engineering, 14(6), 1332–1341. https://doi.org/10.1080/19397038.2021.1970272
Shi, J. L., & Lai, W. H. (2023). Fuzzy AHP approach to evaluate incentive factors of high-tech talent agglomeration. Expert Systems with Applications, 212, 118652. https://doi.org/10.1016/j.eswa.2022.118652
Singer, H., & Özşahin, Ş. (2022). Prioritization of laminate flooring selection criteria from experts’ perspectives: a spherical fuzzy AHP-based model. Architectural Engineering and Design Management, 18(6), 911–926. https://doi.org/10.1080/17452007.2021.1956421
Singer, H., & Özşahin, Ş. (2023). Applying an interval-valued Pythagorean fuzzy analytic hierarchy process to rank factors influencing wooden outdoor furniture selection. Wood Material Science & Engineering, 18(1), 322–333. https://doi.org/10.1080/17480272.2021.2025427
Singh, A. (2021). An integrated approach towards ranking hospitals using Fuzzy AHP and ELECTRE-I technique. International Journal of Healthcare Management, 14(2), 499–508. https://doi.org/10.1080/20479700.2019.1665881
Sirisawat, P., & Kiatcharoenpol, T. (2018). Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers. Computers & Industrial Engineering, 117, 303–318. https://doi.org/10.1016/j.cie.2018.01.015
Sur, U., Singh, P., & Meena, S. R. (2020). Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data. Geomatics, Natural Hazards and Risk, 11(1), 2176–2209. https://doi.org/10.1080/19475705.2020.1836038
Tasnuva, A., & Bari, Q. H. (2024). Integrating machine learning algorithms and fuzzy AHP for assessing livelihood vulnerability in Southwestern Coastal Bangladesh. Regional Studies in Marine Science, 79, 103825. https://doi.org/10.1016/j.rsma.2024.103825
Tavana, M., Shaabani, A., Mansouri Mohammadabadi, S., & Varzgani, N. (2021). An integrated fuzzy AHP-fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection. International Journal of Systems Science: Operations & Logistics, 8(3), 238–261. https://doi.org/10.1080/23302674.2020.1737754
Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems, 11(1-3), 229–241. https://doi.org/10.1016/s0165-0114(83)80082-7
Verma, V. K., & Rastogi, R. (2024). How do stakeholders perceive transit service quality attributes?–a study through Fuzzy-AHP. Expert Systems with Applications, 238, 122043. https://doi.org/10.1016/j.eswa.2023.122043
Wan, J., Baumler, R., & Dalaklis, D. (2024). Identifying key safety investments needed for arctic shipping via a fuzzy analytic hierarchy process (FAHP) approach. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 8(4), 2422710. https://doi.org/10.1080/25725084.2024.2422710
Wang, B., Xie, H. L., Ren, H. Y., Li, X., Chen, L., & Wu, B. C. (2019). Application of AHP, TOPSIS, and TFNs to plant selection for phytoremediation of petroleum-contaminated soils in shale gas and oil fields. Journal of cleaner production, 233, 13–22. https://doi.org/10.1016/j.jclepro.2019.05.301
Wang, X., Zhao, T., & Chang, C. T. (2021). An integrated FAHP-MCGP approach to project selection and resource allocation in risk-based internal audit planning: A case study. Computers & Industrial Engineering, 152, 107012. https://doi.org/10.1016/j.cie.2020.107012
Wang, Y., Xu, L., & Solangi, Y. A. (2020). Strategic renewable energy resources selection for Pakistan: Based on SWOT-Fuzzy AHP approach. Sustainable Cities and Society, 52, 101861. https://doi.org/10.1016/j.scs.2019.101861
Wang, Z. J. (2019). A representable uninorm-based intuitionistic fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 28(10), 2555–2569. https://doi.org/10.1109/tfuzz.2019.2941174
Wang, Z. J. (2020). A novel triangular fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 29(7), 2032–2046. https://doi.org/10.1109/tfuzz.2020.2992103
Wang, Z. J. (2021). Eigenproblem driven triangular fuzzy analytic hierarchy process. Information sciences, 578, 795–816. https://doi.org/10.1016/j.ins.2021.08.051
Wattanasaeng, N., & Ransikarbum, K. (2024). Sustainable planning and design for eco-industrial parks using integrated multi-objective optimization and fuzzy analytic hierarchy process. Journal of Industrial and Production Engineering, 41(3), 256–275. https://doi.org/10.1080/21681015.2023.2292106
Yang, Y., Yuan, G., Zhuang, Q., & Tian, G. (2019). Multi-objective low-carbon disassembly line balancing for agricultural machinery using MDFOA and fuzzy AHP. Journal of Cleaner Production, 233, 1465–1474. https://doi.org/10.1016/j.jclepro.2019.06.035
Yousefzadeh, S., Yaghmaeian, K., Mahvi, A. H., Nasseri, S., Alavi, N., & Nabizadeh, R. (2020). Comparative analysis of hydrometallurgical methods for the recovery of Cu from circuit boards: optimization using response surface and selection of the best technique by two-step fuzzy AHP-TOPSIS method. Journal of Cleaner Production, 249, 119401. https://doi.org/10.1016/j.jclepro.2019.119401
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
Zheng, Q., Lyu, H. M., Zhou, A., & Shen, S. L. (2021). Risk assessment of geohazards along Cheng-Kun railway using fuzzy AHP incorporated into GIS. Geomatics, Natural Hazards and Risk, 12(1), 1508–1531. https://doi.org/10.1080/19475705.2021.1933614
Zhu, K., Zhao, Y., Xu, X., & Hao, L. (2022). Measuring the natural gas supply security performance of China's natural gas suppliers: A comprehensive framework using FAHP-Entropy-PROOTHEE method. Journal of Cleaner Production, 345, 131093. https://doi.org/10.1016/j.jclepro.2022.131093
Al-Araidah, O., Hayajneh, M. T., & Al-Rwabdah, R. A. (2020). Desalination membrane selection using group fuzzy analytical hierarchy process. Desalin. WATER Treat, 174, 79-89. https://doi.org/10.5004/dwt.2020.24873
Alhadidi, T. I., & Alomari, A. H. (2024). A FAHP-VIKOR model for evaluating single point interchange operational performance. Expert Systems with Applications, 248, 123386. https://doi.org/10.1016/j.eswa.2024.123386
Aliabadi, V., Ataei, P., Gholamrezai, S., & Aazami, M. (2019). Components of sustainability of entrepreneurial ecosystems in knowledge-intensive enterprises: The application of fuzzy analytic hierarchy process. Small Enterprise Research, 26(3), 288–306. https://doi.org/10.1080/13215906.2019.1671215
Arman, H. (2023). Fuzzy analytic hierarchy process for pentagonal fuzzy numbers and its application in sustainable supplier selection. Journal of Cleaner Production, 409, 137190. https://doi.org/10.1016/j.jclepro.2023.137190
Ashour, M., Mahdiyar, A., Haron, S. H., & Hanafi, M. H. (2022). Barriers to the practice of sustainable interior architecture and design for interior renovations: A Parsimonious-Cybernetic Fuzzy AHP approach. Journal of Cleaner Production, 366, 132958. https://doi.org/10.1016/j.jclepro.2022.132958
Ayalew, G. G., Meharie, M. G., & Worku, B. (2022). A road maintenance management strategy evaluation and selection model by integrating Fuzzy AHP and Fuzzy TOPSIS methods: The case of Ethiopian Roads Authority. Cogent Engineering, 9(1), 2146628. https://doi.org/10.1080/23311916.2022.2146628
Ayalew, G. G., Ayalew, G. M., & Meharie, M. G. (2023). Integrating exploratory factor analysis and fuzzy AHP models for assessing the factors affecting the performance of building construction projects: The case of Ethiopia. Cogent Engineering, 10(1), 2243724. https://doi.org/10.1080/23311916.2023.2243724
Ayyildiz, E., Yildiz, A., Taskin, A., & Ozkan, C. (2023). An interval valued Pythagorean fuzzy AHP integrated quality function deployment methodology for hazelnut production in Turkey. Expert Systems with Applications, 231, 120708. https://doi.org/10.1016/j.eswa.2023.120708
Azari, A., Nabizadeh, R., Mahvi, A. H., & Nasseri, S. (2022). Integrated Fuzzy AHP-TOPSIS for selecting the best color removal process using carbon-based adsorbent materials: multi-criteria decision making vs. systematic review approaches and modeling of textile wastewater treatment in real conditions. International Journal of Environmental Analytical Chemistry, 102(18), 7329–7344. https://doi.org/10.1080/03067319.2020.1828395
Bakhtari, A. R., Waris, M. M., Sanin, C., & Szczerbicki, E. (2021). Evaluating industry 4.0 implementation challenges using interpretive structural modeling and fuzzy analytic hierarchy process. Cybernetics and Systems, 52(5), 350-378. https://doi.org/10.1080/01969722.2020.1871226
Bansal, N., Sharma, A., & Singh, R. K. (2019). Fuzzy AHP approach for legal judgement summarization. Journal of Management Analytics, 6(3), 323–340. https://doi.org/10.1080/23270012.2019.1655672
Bostancioglu, E. (2021). Double skin façade assessment by fuzzy AHP and comparison with AHP. Architectural Engineering and Design Management, 17(1-2), 110–130. https://doi.org/10.1080/17452007.2020.1735292
Buran, B., & Erçek, M. (2022). Public transportation business model evaluation with Spherical and Intuitionistic Fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 204, 117519. https://doi.org/10.1016/j.eswa.2022.117519
Candan, G., & Cengiz Toklu, M. (2022). Sustainable industrialization performance evaluation of European Union countries: an integrated spherical fuzzy analytic hierarchy process and grey relational analysis approach. International Journal of Sustainable Development & World Ecology, 29(5), 387–400. https://doi.org/10.1080/13504509.2022.2027293
Castelló-Sirvent, F., Meneses-Eraso, C., Alonso-Gómez, J., & Peris-Ortiz, M. (2022). Three decades of fuzzy AHP: A bibliometric analysis. Axioms, 11(10), 525. https://doi.org/10.3390/axioms11100525
Chan, H. K., Sun, X., & Chung, S. H. (2019). When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process?. Decision Support Systems, 125, 113114. https://doi.org/10.1016/j.dss.2019.113114
Chen, C., Zheng, K., Wang, Y., Li, J., Liu, X., Zheng, X., & Yu, Y. (2022a). Microscope usability evaluation based on Fuzzy Analytic Hierarchy Process. Mathematical Problems in Engineering, 2022(1), 8643221. https://doi.org/10.1155/2022/8643221
Chen, T., & Wu, H. C. (2021). Fuzzy collaborative intelligence fuzzy analytic hierarchy process approach for selecting suitable three-dimensional printers. Soft Computing, 25, 4121–4134. https://doi.org/10.1007/s00500-020-05436-z
Chen, X., Fang, Y., Chai, J., & Xu, Z. (2022b). Does intuitionistic fuzzy analytic hierarchy process work better than analytic hierarchy process? International Journal of Fuzzy Systems, 24(2), 909–924. https://doi.org/10.1007/s40815-021-01163-1
Coffey, L., & Claudio, D. (2021). In defense of group fuzzy AHP: A comparison of group fuzzy AHP and group AHP with confidence intervals. Expert Systems with Applications, 178, 114970. https://doi.org/10.1016/j.eswa.2021.114970
Dağıdır, B. D., & Özkan, B. (2024). A comprehensive evaluation of a company performance using sustainability balanced scorecard based on picture fuzzy AHP. Journal of Cleaner Production, 435, 140519. https://doi.org/10.1016/j.jclepro.2023.140519
Das, S., Adhikary, P. P., Shit, P. K., & Bera, B. (2022). Assessment of wetland health dynamics: Comparing fuzzy- AHP and composite indexing methods in an urban agglomeration in east India. Geocarto International, 37(27), 16437–16461. https://doi.org/10.1080/10106049.2022.2109759
Dasari, S., & Gupta, S. (2023). Application of fuzzy analytical hierarchy process to develop walkability index: a case study of Dwarka sub city, New Delhi, India. Urban, Planning and Transport Research, 11(1). https://doi.org/10.1080/21650020.2023.2278875
Dhingra, T., Sengar, A., & Sajith, S. (2022). A fuzzy analytic hierarchy process-based analysis for prioritization of barriers to offshore wind energy. Journal of Cleaner Production, 345, 131111. https://doi.org/10.1016/j.jclepro.2022.131111
Dhumras, H., & Bajaj, R. K. (2024). On potential strategic framework for green supply chain management in the energy sector using q-rung picture fuzzy AHP & WASPAS decision-making model. Expert Systems with Applications, 237, 121550. https://doi.org/10.1016/j.eswa.2023.121550
Dogan, O. (2021). Process mining technology selection with spherical fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 178, 114999. https://doi.org/10.1016/j.eswa.2021.114999
Dong, J., Ju, Y., Dong, P., Giannakis, M., Wang, A., Liang, Y., & Wang, H. (2021). Evaluate and select state-owned enterprises with sustainable high-quality development capacity by integrating FAHP-LDA and bidirectional projection methods. Journal of Cleaner Production, 329, 129771. https://doi.org/10.1016/j.jclepro.2021.129771
Fidan, F. Ş., Aydoğan, E. K., & Uzal, N. (2021). Multi-dimensional Sustainability Evaluation of Indigo Rope Dyeing with a life cycle approach and hesitant fuzzy analytic hierarchy process. Journal of Cleaner Production, 309, 127454. https://doi.org/10.1016/j.jclepro.2021.127454
Fu, X. L., Ni, H., Zhou, A., Jiang, Z. Y., Jiang, N. J., & Du, Y. J. (2023). An integrated fuzzy AHP and fuzzy TOPSIS approach for screening backfill materials for contaminant containment in slurry trench cutoff walls. Journal of Cleaner Production, 419, 138242. https://doi.org/10.1016/j.jclepro.2023.138242
Getawa Ayalew, G., Admasu Alemneh, L., & Melkamu Ayalew, G. (2024). Exploring fuzzy AHP approaches for quality management control practices in public building construction projects. Cogent Engineering, 11(1), 2326765. https://doi.org/10.1080/23311916.2024.2326765
Gupta, N., & Lee, S. H. (2023). Trapezoidal interval type-2 fuzzy analytical hierarchy process technique for biophilic element/design selection in lodging industry. Journal of the Operational Research Society, 74(7), 1613–1627. https://doi.org/10.1080/01605682.2022.2102943
Hashim, M., Nazam, M., Abrar, M., Hussain, Z., Nazim, M., Shabbir, R., & Tan, A. W. K. (2021). Unlocking the Sustainable Production Indicators: A Novel TESCO based Fuzzy AHP Approach. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2020.1870807
Ho, J. Y., Ooi, J., Wan, Y. K., & Andiappan, V. (2021). Synthesis of wastewater treatment process (WWTP) and supplier selection via Fuzzy Analytic Hierarchy Process (FAHP). Journal of Cleaner Production, 314, 128104. https://doi.org/10.1016/j.jclepro.2021.128104
Huang, S. H. S., Hsu, W. K. K., & Chen, J. W. (2020). A safety evaluation system based on a revised fuzzy AHP for dangerous goods in airfreights. Journal of Transportation Safety & Security, 12(5), 611–627. https://doi.org/10.1080/19439962.2018.1519624
Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and applications a state-of-the-art survey. Springer-Verlag.
Jawad, M., Naz, M., & Muqaddus, H. (2023). A multi-criteria decision-making approach for portfolio selection by using an automatic spherical fuzzy AHP algorithm. Journal of the Operational Research Society, 75(1), 85–98. https://doi.org/10.1080/01605682.2023.2174905
Jbaihi, O., Ouchani, F. Z., Ghennioui, A., Ferfra, M., & Cherkaoui, M. (2024). Technical potential appraisal and optimal site screening comparing AHP and fuzzy AHP methods for large-scale CSP plants: A GIS-MCDM approach in Morocco. Sustainable Energy Technologies and Assessments, 68, 103877. https://doi.org/10.1016/j.seta.2024.103877
Kahraman, C. (2024). Proportional picture fuzzy sets and their AHP extension: Application to waste disposal site selection. Expert Systems with Applications, 238, 122354. https://doi.org/10.1016/j.eswa.2023.122354
Karatop, B., Taşkan, B., Adar, E., & Kubat, C. (2021). Decision analysis related to the renewable energy investments in Turkey based on a Fuzzy AHP-EDAS-Fuzzy FMEA approach. Computers & Industrial Engineering, 151, 106958. https://doi.org/10.1016/j.cie.2020.106958
Kaya, N. S., Pacci, S., Demirağ Turan, I., Odabas, M. S., & Dengiz, O. (2023). Comparing geographic information systems-based fuzzy-analytic hierarchical process approach and artificial neural network to characterize soil erosion risk indexes. Rendiconti Lincei. Scienze Fisiche e Naturali, 34(4), 1089–1104. https://doi.org/10.1007/s12210-023-01201-0
Kazemi, F., Bahrami, A., & Sharif, J. A. (2020). Mineral processing plant site selection using integrated fuzzy cognitive map and fuzzy analytical hierarchy process approach: A case study of gilsonite mines in Iran. Minerals engineering, 147, 106143. https://doi.org/10.1016/j.mineng.2019.106143
Khoshand, A., Khanlari, K., Abbasianjahromi, H., & Zoghi, M. (2020). Construction and demolition waste management: Fuzzy Analytic Hierarchy Process approach. Waste Management & Research, 38(7), 773–782. https://doi.org/10.1177/0734242x20910468
Kinay, A. O., & Tezel, B. T. (2022). Modification of the fuzzy analytic hierarchy process via different ranking methods. International Journal of Intelligent Systems, 37(1), 336–364. https://doi.org/10.1002/int.22628
Kong, H. Q., & Zhang, N. (2024). Risk assessment of water inrush accident during tunnel construction based on FAHP-I-TOPSIS. Journal of Cleaner Production, 449, 141744. https://doi.org/10.1016/j.jclepro.2024.141744
Kumar, M., Singh, P., & Singh, P. (2022). Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India. Geocarto International, 37(22), 6671–6694. https://doi.org/10.1080/10106049.2021.1946170
Kutlu Gündoğdu, F., & Kahraman, C. (2020). A novel spherical fuzzy analytic hierarchy process and its renewable energy application. Soft Computing, 24, 4607–4621. https://doi.org/10.1007/s00500-019-04222-w
Lakshmi, K. V., & Kumara, K. U. (2024). A novel randomized weighted fuzzy AHP by using modified normalization with the TOPSIS for optimal stock portfolio selection model integrated with an effective sensitive analysis. Expert Systems with Applications, 243, 122770. https://doi.org/10.1016/j.eswa.2023.122770
Lallam, M., Djebli, A., & Mammeri, A. (2023). Fuzzy Analytical Hierarchy Process for assessing damage in old msonry buildings: A case study. International Journal of Architectural Heritage, 1–20. https://doi.org/10.1080/15583058.2023.2295885
Leung, K. H., Lau, H. C., Nakandala, D., Kong, X. T., & Ho, G. T. (2021). Standardising fresh produce selection and grading process for improving quality assurance in perishable food supply chains: an integrated Fuzzy AHP-TOPSIS framework. Enterprise Information Systems, 15(5), 651–675. https://doi.org/10.1080/17517575.2020.1790041
Li, L., Tong, J., Wang, H., Ren, R., Xiong, L., & Wang, J. (2023). Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model. Medicine, 102(44), e35752. https://doi.org/10.1097/md.0000000000035752
Liu, J., Yin, Y., & Yan, S. (2019). Research on clean energy power generation-energy storage-energy using virtual enterprise risk assessment based on fuzzy analytic hierarchy process in China. Journal of Cleaner Production, 236, 117471. https://doi.org/10.1016/j.jclepro.2019.06.302
Liu, Y., Eckert, C. M., & Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judgments. Expert Systems with Applications, 161, 113738. https://doi.org/10.1016/j.eswa.2020.113738
Lorio, C. T., Opiso, E. M., Resabal, V. J. T., Bernardo-Arugay, I., Ortenero, J. R., Beltran, A. B., ... & Promentilla, M. A. B. (2023). Optimal treatment technology selection for acid mine drainage via spherical fuzzy analytic hierarchy process. Minerals Engineering, 202, 108260. https://doi.org/10.1016/j.mineng.2023.108260
Lyu, H. M., Sun, W. J., Shen, S. L., & Zhou, A. N. (2020). Risk assessment using a new consulting process in fuzzy AHP. Journal of Construction Engineering and Management, 146(3), 04019112. https://doi.org/10.1061/(asce)co.1943-7862.0001757
Majumdar, A., Sinha, S. K., Shaw, M., & Mathiyazhagan, K. (2020). Analysing the vulnerability of green clothing supply chains in South and Southeast Asia using fuzzy analytic hierarchy process. International Journal of Production Research, 59(3), 752–771. https://doi.org/10.1080/00207543.2019.1708988
Moktadir, A., Rahman, T., Jabbour, C. J. C., Ali, S. M., & Kabir, G. (2018). Prioritization of drivers of corporate social responsibility in the footwear industry in an emerging economy: A fuzzy AHP approach. Journal of cleaner production, 201, 369–381. https://doi.org/10.1016/j.jclepro.2018.07.326
Mostafa, M., Hatami, N., Espahbodi, K., & Asadi, F. (2022). Fuzzy Analytic Hierarchy Process (FAHP) applied to evaluating the forest management approaches. Journal of Forest Science, 68(7), 263–276. https://doi.org/10.17221/27/2022-JFS
Nazari, S., Fallah, M., Kazemipoor, H., & Salehipour, A. (2018). A fuzzy inference-fuzzy analytic hierarchy process-based clinical decision support system for diagnosis of heart diseases. Expert Systems with Applications, 95, 261–271. https://doi.org/10.1016/j.eswa.2017.11.001
Olabanji, O. M., & Mpofu, K. (2020). Hybridized fuzzy analytic hierarchy process and fuzzy weighted average for identifying optimal design concept. Heliyon, 6(1). https://doi.org/10.1016/j.heliyon.2020.e03182
Past, V., Yaghmaeian, K., Naderi, M., & Naderi, N. (2023). Management of the construction and demolition waste (CDW) and determination of the best disposal alternative by FAHP (Fuzzy Analytic Hierarchy Process): A case study of Tehran, Iran. Journal of the Air & Waste Management Association, 73(4), 271–284. https://doi.org/10.1080/10962247.2023.2178542
Rabia, M. A. B., & Bellabdaoui, A. (2023). Collaborative intuitionistic fuzzy-AHP to evaluate simulation-based analytics for freight transport. Expert Systems with Applications, 225, 120116. https://doi.org/10.1016/j.eswa.2023.120116
Raja, S., Praveenkumar, V., Rusho, M. A., & Yishak, S. (2024). Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach. Results in Engineering, 24, 103018. https://doi.org/10.1016/j.rineng.2024.103018
Rajput, L., Beg, I., & Kumar, S. (2024). Spherical fuzzy analytic hierarchy process and linear assignment model based MCGDM method with its application in ranking of states for their business climate. Expert Systems with Applications, 238, 122247. https://doi.org/10.1016/j.eswa.2023.122247
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, priority setting, resource allocation. McGraw-Hill.
Sakhardande, M. J., & Gaonkar, R. S. P. (2022). On solving large data matrix problems in Fuzzy AHP. Expert Systems with Applications, 194, 116488. https://doi.org/10.1016/j.eswa.2021.116488
Salari, S., Sadeghi-Yarandi, M., & Golbabaei, F. (2024). An integrated approach to occupational health risk assessment of manufacturing nanomaterials using Pythagorean fuzzy AHP and fuzzy inference system. Scientific Reports, 14(1), 180. https://doi.org/10.1038/s41598-023-48885-w
Sam’an, M., Dasril, Y., & Muslim, M. A. (2021). The new Fuzzy Analytical Hierarchy Process with Interval Type-2 Trapezoidal Fuzzy Sets and its Application. Fuzzy Information and Engineering, 13(3), 391–419. https://doi.org/10.1080/16168658.2021.1952760
Sarkar, D., & Singh, M. (2021). Development of risk index for mass rapid transit system project in Western India through application of fuzzy analytical hierarchy process (FAHP). International Journal of Construction Management, 21(5), 439–451. https://doi.org/10.1080/15623599.2018.1557997
Shah, S. A. A., Solangi, Y. A., & Ikram, M. (2019). Analysis of barriers to the adoption of cleaner energy technologies in Pakistan using Modified Delphi and Fuzzy Analytical Hierarchy Process. Journal of Cleaner Production, 235, 1037–1050. https://doi.org/10.1016/j.jclepro.2019.07.020
Sharma, V., Sharma, V., & Karwasra, K. (2021). A decision framework for green manufacturing indicators using fuzzy AHP - ELECTRE I: a case study of the steering system manufacturer. International Journal of Sustainable Engineering, 14(6), 1332–1341. https://doi.org/10.1080/19397038.2021.1970272
Shi, J. L., & Lai, W. H. (2023). Fuzzy AHP approach to evaluate incentive factors of high-tech talent agglomeration. Expert Systems with Applications, 212, 118652. https://doi.org/10.1016/j.eswa.2022.118652
Singer, H., & Özşahin, Ş. (2022). Prioritization of laminate flooring selection criteria from experts’ perspectives: a spherical fuzzy AHP-based model. Architectural Engineering and Design Management, 18(6), 911–926. https://doi.org/10.1080/17452007.2021.1956421
Singer, H., & Özşahin, Ş. (2023). Applying an interval-valued Pythagorean fuzzy analytic hierarchy process to rank factors influencing wooden outdoor furniture selection. Wood Material Science & Engineering, 18(1), 322–333. https://doi.org/10.1080/17480272.2021.2025427
Singh, A. (2021). An integrated approach towards ranking hospitals using Fuzzy AHP and ELECTRE-I technique. International Journal of Healthcare Management, 14(2), 499–508. https://doi.org/10.1080/20479700.2019.1665881
Sirisawat, P., & Kiatcharoenpol, T. (2018). Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers. Computers & Industrial Engineering, 117, 303–318. https://doi.org/10.1016/j.cie.2018.01.015
Sur, U., Singh, P., & Meena, S. R. (2020). Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data. Geomatics, Natural Hazards and Risk, 11(1), 2176–2209. https://doi.org/10.1080/19475705.2020.1836038
Tasnuva, A., & Bari, Q. H. (2024). Integrating machine learning algorithms and fuzzy AHP for assessing livelihood vulnerability in Southwestern Coastal Bangladesh. Regional Studies in Marine Science, 79, 103825. https://doi.org/10.1016/j.rsma.2024.103825
Tavana, M., Shaabani, A., Mansouri Mohammadabadi, S., & Varzgani, N. (2021). An integrated fuzzy AHP-fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection. International Journal of Systems Science: Operations & Logistics, 8(3), 238–261. https://doi.org/10.1080/23302674.2020.1737754
Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems, 11(1-3), 229–241. https://doi.org/10.1016/s0165-0114(83)80082-7
Verma, V. K., & Rastogi, R. (2024). How do stakeholders perceive transit service quality attributes?–a study through Fuzzy-AHP. Expert Systems with Applications, 238, 122043. https://doi.org/10.1016/j.eswa.2023.122043
Wan, J., Baumler, R., & Dalaklis, D. (2024). Identifying key safety investments needed for arctic shipping via a fuzzy analytic hierarchy process (FAHP) approach. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 8(4), 2422710. https://doi.org/10.1080/25725084.2024.2422710
Wang, B., Xie, H. L., Ren, H. Y., Li, X., Chen, L., & Wu, B. C. (2019). Application of AHP, TOPSIS, and TFNs to plant selection for phytoremediation of petroleum-contaminated soils in shale gas and oil fields. Journal of cleaner production, 233, 13–22. https://doi.org/10.1016/j.jclepro.2019.05.301
Wang, X., Zhao, T., & Chang, C. T. (2021). An integrated FAHP-MCGP approach to project selection and resource allocation in risk-based internal audit planning: A case study. Computers & Industrial Engineering, 152, 107012. https://doi.org/10.1016/j.cie.2020.107012
Wang, Y., Xu, L., & Solangi, Y. A. (2020). Strategic renewable energy resources selection for Pakistan: Based on SWOT-Fuzzy AHP approach. Sustainable Cities and Society, 52, 101861. https://doi.org/10.1016/j.scs.2019.101861
Wang, Z. J. (2019). A representable uninorm-based intuitionistic fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 28(10), 2555–2569. https://doi.org/10.1109/tfuzz.2019.2941174
Wang, Z. J. (2020). A novel triangular fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 29(7), 2032–2046. https://doi.org/10.1109/tfuzz.2020.2992103
Wang, Z. J. (2021). Eigenproblem driven triangular fuzzy analytic hierarchy process. Information sciences, 578, 795–816. https://doi.org/10.1016/j.ins.2021.08.051
Wattanasaeng, N., & Ransikarbum, K. (2024). Sustainable planning and design for eco-industrial parks using integrated multi-objective optimization and fuzzy analytic hierarchy process. Journal of Industrial and Production Engineering, 41(3), 256–275. https://doi.org/10.1080/21681015.2023.2292106
Yang, Y., Yuan, G., Zhuang, Q., & Tian, G. (2019). Multi-objective low-carbon disassembly line balancing for agricultural machinery using MDFOA and fuzzy AHP. Journal of Cleaner Production, 233, 1465–1474. https://doi.org/10.1016/j.jclepro.2019.06.035
Yousefzadeh, S., Yaghmaeian, K., Mahvi, A. H., Nasseri, S., Alavi, N., & Nabizadeh, R. (2020). Comparative analysis of hydrometallurgical methods for the recovery of Cu from circuit boards: optimization using response surface and selection of the best technique by two-step fuzzy AHP-TOPSIS method. Journal of Cleaner Production, 249, 119401. https://doi.org/10.1016/j.jclepro.2019.119401
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
Zheng, Q., Lyu, H. M., Zhou, A., & Shen, S. L. (2021). Risk assessment of geohazards along Cheng-Kun railway using fuzzy AHP incorporated into GIS. Geomatics, Natural Hazards and Risk, 12(1), 1508–1531. https://doi.org/10.1080/19475705.2021.1933614
Zhu, K., Zhao, Y., Xu, X., & Hao, L. (2022). Measuring the natural gas supply security performance of China's natural gas suppliers: A comprehensive framework using FAHP-Entropy-PROOTHEE method. Journal of Cleaner Production, 345, 131093. https://doi.org/10.1016/j.jclepro.2022.131093
Issue
Section
Articles
Copyright of all articles published in IJAHP is transferred to Creative Decisions Foundation (CDF). However, the author(s) reserve the following:
- All proprietary rights other than copyright, such as patent rights.
- The right to grant or refuse permission to third parties to republish all or part of the article or translations thereof. In case of whole articles, such third parties must obtain permission from CDF as well. However, CDF may grant rights with respect to journal issues as a whole.
- The right to use all or parts of this article in future works of their own, such as lectures, press releases, reviews, textbooks, or reprint books.
- The authors affirm that the article has been neither copyrighted nor published, that it is not being submitted for publication elsewhere, and that if the work is officially sponsored, it has been released for open publication.
The only exception to the statements in the paragraph above is the following: If an article published in IJAHP contains copyrighted material, such as a teaching case, as an appendix, then the copyright (and all commercial rights) of such material remains with the original copyright holder.
CDF will receive permission for publication of copyrighted material in IJAHP. This permission is not transferable to third parties. Permission to make electronic and paper copies of part or all of the articles, including all computer files that are linked to the articles, for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage.
This permission does not apply to previously copyrighted material, such as teaching cases. In paper copies of the article, the copyright notice and the title of the publication and its date should be visible. To copy otherwise is permitted provided that a per-copy fee is paid.
To republish, to post on servers, or redistribute to lists requires that you post a link to the IJAHP article, which is available in open access delivery mode. Do not upload the article itself.
Authors are permitted to present a talk, based on a paper submitted to or accepted by IJAHP, at a conference where the paper would not be published in a copyrighted publication either before or after the conference and where the author did not assign copyright to the conference or related publisher.