ANALYTICAL HIERARCHY PROCESS (AHP) AND ANALYTIC NETWORK PROCESS METHODS AND THEIR APPLICATIONS: A TWENTY YEAR REVIEW FROM 2000-2019 AHP & ANP techniques and their applications: Twenty years review from 2000 to 2019

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Published Dec 23, 2020
Amin Ullah Khan Yousaf Ali

Abstract

This research aims to analyze a literature review of publications that have incorporated the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods. The AHP and ANP methods have contributed to decision-making in complex situations in recent years and possess widespread applications. Such applications are spread over the years with publications in various major areas such as engineering/technology/applied sciences, social sciences, health sciences, and environmental studies. These two methods provide multiple solutions to researchers in these fields, which is why they are being considered in the current study. For this purpose, data was collected from 920 research papers after a vigorous literature review using different search engines. This paper aims to classify the publications on AHP and ANP methods from the years 2000 to 2019 to identify recognized journals based on their indexes. Furthermore, another objective of this study is to compare total publications by year, publications by field by year, and lastly, observe the distribution by country of the studies. This paper concludes that the highest number of publications are from Turkey, and the highest number of publications used AHP method applications in every category. Most of the publications belonged to the technical fields, followed by social sciences. The study concluded that the AHP method is more widely preferred by researchers in almost every field and application because it tends to produce more accurate results than the ANP.

How to Cite

Khan, A. U., & Ali, Y. (2020). ANALYTICAL HIERARCHY PROCESS (AHP) AND ANALYTIC NETWORK PROCESS METHODS AND THEIR APPLICATIONS: A TWENTY YEAR REVIEW FROM 2000-2019 : AHP & ANP techniques and their applications: Twenty years review from 2000 to 2019. International Journal of the Analytic Hierarchy Process, 12(3). https://doi.org/10.13033/ijahp.v12i3.822

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Keywords

Decision Science, AHP, ANP, Application, Literature Review

References
Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Modeling the metrics of lean, agile, and agile supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211-225. doi: https://doi.org/10.1016/j.ejor.2004.12.005

Aggarwal, P. K., Grover, P. S., & Ahuja, L. (2019). Evaluating self-management features for mobile applications. International Journal of E-Services and Mobile Applications (IJESMA), 11(2), 43-55. doi: https://doi.org/10.4018/ijesma.2019040103

Al Khalil, M. I. (2002). Selecting the appropriate project delivery method using AHP. International Journal of Project Management, 20(6), 469-474. doi: https://doi.org/10.1016/s0263-7863(01)00032-1

Al-Harbi, K. M.-S. (, 2001). Application of the AHP in project management. International Journal of ProjectMmanagement, 19(1), 19-27.

Ali, Y., Butt, M., Sabir, M., Mumtaz, U., & Salman, A. (2018). Selection of suitable site in Pakistan for wind power plant installation using the analytic hierarchy process (AHP). Journal of Control and Decision, 5(2), 117-128. doi: https://doi.org/10.1080/23307706.2017.1346490

Ali, Y., Rasheed, Z., Muhammad, N., & Yousaf, S. (2018). Energy optimization in the wake of China Pakistan Economic Corridor (CPEC). Journal of Control and Decision, 5(2), 129-147. doi: https://doi.org/10.1080/23307706.2017.1353929

Almannai, M., Marom, R., & Sutton, V. R. (2016). Newborn screening: a review of history, recent advancements, and future perspectives in the era of next-generation sequencing. Current Opinion in Pediatrics, 28(6), 694-699. doi: https://doi.org/10.1097/mop.0000000000000414

Aloini, D., Dulmin, R., Mininno, V., Pellegrini, L., & Farina, G. (2018). Technology assessment with IF-TOPSIS: An application in the advanced underwater system sector. Technological Forecasting and Social Change, 131, 38-48. doi: https://doi.org/10.1016/j.techfore.2017.07.010

Angelo, L. D., Stefano, P. D., Fratocchi, L., & Marzola, A. (2018). An AHP-based method for choosing the best 3D scanner for cultural heritage applications. Journal of Cultural Heritage, 34, 109-115. doi: https://doi.org/10.1016/j.culher.2018.03.026

Apan, M., Oztel, A., & Islamoglu, M. (2018). Comparative empirical analysis of financial failures of enterprises with Altman z-Score and VIKOR methods: BIST food sector application. Australasian Accounting, Business and Finance Journal, 12(1), 77-101. doi: https://doi.org/10.14453/aabfj.v12i1.6

Ayag, Z., & Ozdemir, R. G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169-2194. doi: https://doi.org/10.1080/00207540600724849

Ayag, Z., & Ozdemir, R. G. (2009). A hybrid approach to concept selection through fuzzy analytic network process. Computers & Industrial Engineering, 56(1), 368-379. doi: https://doi.org/10.1016/j.cie.2008.06.011

Ayag, Z., & Samanlioglu, F. (2019). Fuzzy AHP-GRA approach to evaluating energy sources: a case of Turkey. International Journal of Energy Sector Management, ahead-of-print(ahead-of-print), ahead-of-print. doi: https://doi.org/10.1108/ijesm-09-2018-0012

Ayag, Z., & Yucekaya, A. (2019). A fuzzy ANP-based GRA approach to evaluate ERP packages. International Journal of Enterprise Information Systems (IJEIS), 15(1), 45-68. doi: https://doi.org/10.4018/ijeis.2019010103

Badri, M. A. (2001). A combined AHP–GP model for quality control systems. International Journal of Production Economics, 72(1), 27-40. doi: https://doi.org/10.1016/s0925-5273(00)00077-3

Bahurmoz, A. M. (2006). A strategic model for safety during the Hajj pilgrimage: An ANP application. Journal of Systems Science and Systems Engineering, 15(2), 201-216. doi: https://doi.org/10.1007/s11518-006-5008-4

Becker, J., Becker, A., Sulikowski, P., & Zdziebko, T. (2018). ANP-based analysis of ICT usage in Central European enterprises. Procedia computer science, 126, 2173-2183. doi: https://doi.org/10.1016/j.procs.2018.07.231

Beynon, M. (2002). An analysis of distributions of priority values from alternative comparison scales within AHP. European Journal of Operational Research, 140(1), 104-117. doi: https://doi.org/10.1016/s0377-2217(01)00230-2

Beynon, M. (2002). DS/AHP method: A mathematical analysis, including an understanding of uncertainty. European Journal of Operational Research, 140(1), 148-164. doi: https://doi.org/10.1016/s0377-2217(01)00230-2

Bonissone, P. P., Subbu, R., & Lizzi, J. (2009). Multicriteria decision making (MCDM): a framework for research and applications. IEEE Computational Intelligence Magazine, 4(3), 48-61.doi: https://doi.org/10.1109/mci.2009.933093

Bottero, M., D'Alpaos, C., & Oppio, A. (2018). Multicriteria Evaluation of Urban Regeneration Processes: An Application of PROMETHEE Method in Northern Italy. Advances in Operations Research. doi: https://doi.org/10.1155/2018/9276075

Brans, J.-P., & Vincke, P. (1985). Note—a preferencerRanking organisation method: (The PROMETHEE method for multiple criteria decision-making). Management Science, 31(6), 647-656. doi: https://doi.org/10.1287/mnsc.31.6.647

Buyukozkan, G., Cifci, G., & Guleryuz, S. (2011). Strategic analysis of healthcare service quality using fuzzy AHP methodology. Expert systems with applications, 38(8), 9407-9424. doi: https://doi.org/10.1016/j.eswa.2011.01.103

Byun, D.-H. (2001). The AHP approach for selecting an automobile purchase model. Information & Management, 38(5), 289-297. doi: https://doi.org/10.1016/s0378-7206(00)00071-9

Cagno, E., Caron, F., Mancini, M., & Ruggeri, F. (2000). Using AHP in determining the prior distributions on gas pipeline failures in a robust Bayesian approach. Reliability Engineering & System Safety, 67(3), 275-284. doi: https://doi.org/10.1016/s0951-8320(99)00070-8

Cai, Y., & Wu, W. (2001). Synthetic financial evaluation by a method of combining DEA with AHP. International Transactions in Operational Research, 8(5), 603-609. doi: https://doi.org/10.1111/1475-3995.00336

Chabuk, A., Al-Ansari, N., Hussain, H. M., Knutsson, S., Pusch, R., & Laue, J. (2017). Combining GIS applications and method of multi-criteria decision-making (AHP) for landfill siting in Al-Hashimiyah Qadhaa, Babylon, Iraq. Sustainability, 9(11), 1932. doi: https://doi.org/10.3390/su9111932

Chen, J.-K., & Chen, I.-S. (2010). Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education. Expert Systems with Applications, 37(3), 1981-1990. doi: https://doi.org/10.1016/j.eswa.2009.06.079

Chen, S.-H., & Lee, H.-T. (2008). Applying ANP approach to partner selection for strategic alliance. Management Decision, 46(3), 449-465. doi: https://doi.org/10.1108/00251740810863889

Chen, T.-Y. (2018). A novel VIKOR method with an application to multiple criteria decision analysis for hospital-based post-acute care within a highly complex uncertain environment. Neural Computing and Applications, 1-31. doi: https://doi.org/10.1007/s00521-017-3326-8

Chen, V. Y., Lien, H.-P., Liu, C.-H., Liou, J. J., Tzeng, G.-H., & Yang, L.-S. (2011). Fuzzy MCDM approach for selecting the best environment-watershed plan. Applied Soft Computing, 11(1), 265-275. doi: https://doi.org/10.1016/j.asoc.2009.11.017

Chen, Z., Li, H., & Wong, C. T. (2005). EnvironalPlanning: analytic network process model for environmentally conscious construction planning. Journal of Construction Engineering and Management, 131(1), 92-101. doi: https://doi.org/10.1061/(asce)0733-9364(2005)131:1(92)

Cheng, E. W., & Li, H. (2006). Job performance evaluation for construction companies: an analytic network process approach. Journal of Construction Engineering and Management, 132(8), 827-835. doi: https://doi.org/10.1061/(asce)0733-9364(2006)132:8(827)

Cheng, E. W., & Li, H. (2007). Application of ANP in process models: An example of strategic partnering. Building and Environment, 42(1), 278-287. doi: https://doi.org/10.1016/j.buildenv.2005.07.031

Chiang-Ku, F., Hui-Yin, T., & Jin-Lung, P. (2009). Using ANP and GRA to evaluate the employability of graduates from department of risk management and insurance. Journal of Grey System, 21(1).

Chin, K.-S., Pun, K.-F., Xu, Y., & Chan, J. S. (2002). An AHP based study of critical factors for TQM implementation in Shanghai manufacturing industries. Technovation, 22(11), 707-715. doi: https://doi.org/10.1016/s0166-4972(01)00065-7

Chui-Hua, L., Tzeng, G.-H., & Lee, M.-H. (2012). Improving tourism policy implementation–The use of hybrid MCDM models. Tourism Management, 33(2), 413-426. doi: https://doi.org/10.1016/j.tourman.2011.05.002

Chung, S.-H., Lee, A. H., & Pearn, W. L. (2005). Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis. The International Journal of Advanced Manufacturing Technology, 25(11-12), 1144-1156. doi: https://doi.org/10.1007/s00170-003-1956-8

Chung, S.-H., Lee, A. H., & Pearn, W.-L. (2005). Analytic network process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics, 96(1), 15-36. doi: https://doi.org/10.1016/j.ijpe.2004.02.006

Chwolka, A., & Raith, M. G. (2001). Group preference aggregation with the AHP–implications for multiple-issue agendas. European Journal of Operational Research, 132(1), 176-186.doi: https://doi.org/10.1016/s0377-2217(00)00121-1

Clarivate. (2019). Clarivate Analytics. Retrieved September 10, 2019, from https://jcr.clarivate.com/JCRLandingPageAction.action?Init=Yes&SrcApp=IC2LS&locale=en_US&SID=J4-e2IptoIaXn4x2BroTz5FPDnOajW9FR7ix2Fw-18x2dnXVoPsSIZqWix2BC4bxxs5fRAx3Dx3DQde7JngomVh2u3oP9WLppgx3Dx3D-03Ff2gF3hTJGBPDScD1wSwx3Dx3D-cLUx2FoETAVeN3rTSMreq46gx3Dx

Coulter, K., & Sarkis, J. (2005). Development of a media selection model using the analytic network process. International Journal of Advertising, 24(2), 193-215. doi: https://doi.org/10.1080/02650487.2005.11072914

Dagdeviren, M., Yuksel, I., & Kurt, M. (2008). A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system. Safety Science, 46(5), 771-783. doi: https://doi.org/10.1016/j.ssci.2007.02.002

Danner, M., Hummel, J. M., Volz, F., van Manen, J. G., & Wiegard, B. (2011). Integrating patients' views into health technology assessment: Analytic hierarchy process (AHP) as a method to elicit patient preferences. International Journal of Technology Assessment in Health Care, 27(4), 369-375. doi: https://doi.org/10.1017/s0266462311000523

Darko, A., Chan, A. P., Ameyaw, E. E., Owusu, E. K., Parn, E., & Edwards, D. J. (2019). Review of application of analytic hierarchy process (AHP) in construction. International Journal of Construction Management, 19(5), 436-452. doi: https://doi.org/10.1080/15623599.2018.1452098

Davies, M. (2001). Adaptive AHP: a review of marketing applications with extensions. European Journal of Marketing, 35(7/8), 872-894. doi: https://doi.org/10.1108/eum0000000005729

Deng, J. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1-24.

Dolan, J. G. (2008). Shared decision-making–transferring research into practice: the Analytic Hierarchy Process (AHP). Patient Education and Counseling, 73(3), 418-425. doi: https://doi.org/10.1016/j.pec.2008.07.032

Erdogmus, S., Aras, H., & Koc, E. (2006). Evaluation of alternative fuels for residential heating in Turkey using analytic network process (ANP) with group decision-making. Renewable and Sustainable Energy Reviews, 10(3), 269-279. doi:

Erdogmus, S., Kapanoglu, M., & Koc, E. (2005). Evaluating high-tech alternatives by using analytic network process with BOCR and multiactors. Evaluation and Program Planning, 28(4), 391-399. doi: https://doi.org/10.1016/j.evalprogplan.2005.07.003

Ertay, T., Buyukozkan, G., Kahraman, C., & Ruan, D. (2005). Quality function deployment implementation based on analytic network process with linguistic data: An application in automotive industry. Journal of Intelligent & Fuzzy Systems, 16(3), 221-232.

Ezzabadi, J. H., Saryazdi, M. D., & Mostafeipour, A. (2015). Implementing Fuzzy Logic and AHP into the EFQM model for performance improvement: A case study. Applied Soft Computing, 36, 165-176. doi: https://doi.org/10.1016/j.asoc.2015.06.051

Fahmy, H. M. (2001). Reliability evaluation in distributed computing environments using the AHP. Computer Networks, 36(5-6), 597-615. doi: https://doi.org/10.1016/s1389-1286(01)00175-x

Fiala, P. (2006). An ANP/DNP analysis of economic elements in today’s world network economy. Journal of Systems Science and Systems Engineering, 15(2), 131-140. doi: https://doi.org/10.1007/s11518-006-5002-x

Ganguly, A., & Kumar, C. (2019). Evaluating supply chain resiliency strategies in the Indian pharmaceutical sector: A fuzzy analytical hierarchy process (F-AHP) approach. International Journal of the Analytic Hierarchy Process, 11(2), 153-180. doi: https://doi.org/10.13033/ijahp.v11i2.620

Garg, M. P., Singh, M., & Singh, S. (2019). Micro-machining and process optimization of electrochemical discharge machining (ECDM) process by GRA method. Cham: Springer.doi: https://doi.org/10.1007/978-3-030-16943-5_33

Garni, H. Z., & Awasthi, A. (2017). Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Applied Energy, 206, 1225-1240. doi: https://doi.org/10.1016/j.apenergy.2017.10.024

Garuti, C., & Spencer, I. (2007). Parallels between the analytic hierarchy and network processes (AHP/ANP) and fractal geometry. Mathematical and Computer Modelling, 46(7-8), 926-934. doi: https://doi.org/10.1016/j.mcm.2007.03.029

Gokpinar, E., Tansel, Y., & Yurdakul, M. (2019). Analysis of performance improvement brought by the application of an ISO 9001 Quality Management System with TOPSIS approach. International Journal of Knowledge-Based Organizations (IJKBO), 9(3), 1-13. doi: https://doi.org/10.4018/ijkbo.2019070101

Golden, B. L., Wasil, E. A., & Harker, P. T. (1989). The analytic hierarchy process. Berlin: Springer, Berlin, Heidelberg.

Gul, M. (2018). Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit. International Journal of Occupational Safety and Ergonomics, 1(1), 1-14. doi: https://doi.org/10.1080/10803548.2018.1492251

Gul, M., Celik, E., Gumus, A. T., & Guneri, A. F. (2018). A fuzzy logic based PROMETHEE method for material selection problems. Beni-Suef University Journal of Basic and Applied Sciences, 7(1), 68-79. doi: https://doi.org/10.1016/j.bjbas.2017.07.002

Gundogdu, F. K., Kahraman, C., & Karasan, A. (2019). Spherical Fuzzy VIKOR method and its application to waste management. Cham: Springer.
Guneri, A. F., Cengiz, M., & Seker, S. (2009). A fuzzy ANP approach to shipyard location selection. Expert Systems with Applications, 36(4), 7992-7999.

Gungor, A. (2006). Evaluation of connection types in design for disassembly (DFD) using analytic network process. Computers & Industrial Engineering, 50(1-2), 35-54. doi: https://doi.org/10.1016/j.cie.2005.12.002

Hallikainen, P., Kivijarvi, H., & Tuominen, M. (2009). Supporting the module sequencing decision in the ERP implementation process—An application of the ANP method. International Journal of Production Economics, 119(2), 259-270. doi: https://doi.org/10.1016/j.ijpe.2009.03.008

Herat, A. T., Noorossana, R., & Serkani, E. S. (2012). Using DEMATEL analytic network process (ANP) hybrid algorithm approach for selecting improvement projects of Iranian excellence model in healthcare sector. African Journal of Business Management, 6(2), 627-645. doi: https://doi.org/10.5897/ajbm11.2148

Hillerman, T., Souza, J. C., Reis, A. C., & Carvalho, R. N. (2017). Applying clustering and AHP methods for evaluating suspect healthcare claims. Journal of computational science, 19(1), 97-111. doi: https://doi.org/10.1016/j.jocs.2017.02.007

Hinduja, A., & Pandey, M. (2020). An ANP-GRA-based evaluation model for security features of IoT systems. Singapore: Springer.

Hsu, T.-H., & Pan, F. F. (2009). Application of Monte Carlo AHP in ranking dental quality attributes. Expert Systems with Applications, 36(2), 2310-2316. doi: https://doi.org/10.1016/j.eswa.2007.12.023

Huang, J.-J., Tzeng, G.-H., & Ong, C.-S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755-767. doi: https://doi.org/10.1016/j.patrec.2004.09.027

Huang, Y.-H., Chang, P.-Y., Hung, C.-Y., Wang, K.-I., & Chang, K.-J. (2006). An AHP model for bringing experts to consensus on medical payment standards. Journal of Systems Science and Systems Engineering, 15(2), 247-255. doi: https://doi.org/10.1007/s11518-006-5011-9

Hwang, C.-L., & Yoon, K. P. (1995). Multiple attribute decision making: An introduction. California: Sage Publications, Inc.

IIbahar, E., Karasan, A., Cebik, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety science , 103(1), 124-136. doi: https://doi.org/10.1016/j.ssci.2017.10.025

Jackson, J. (2001). Prioritising customers and other stakeholders using the AHP. European Journal of Marketing, 35(7/8), 858-873. doi: https://doi.org/10.1108/eum0000000005728

Jain, R., & Rao, B. (2013). Application of AHP tool for decision making of choice of technology for extraction of anti-cancer bioactive compounds of plant origin. International Journal of the Analytic Hierarchy Process, 5(1), 3-29. doi: https://doi.org/10.13033/ijahp.v5i1.153

Jharkharia, S., & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, 35(3), 274-289. doi: https://doi.org/10.1016/j.omega.2005.06.005

Kabak, M., Burmaoglu, S., & Kazancoglu, Y. (2012). A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications, 39(3), 3516-3525. doi: https://doi.org/10.1016/j.eswa.2011.09.042

Kahraman, C., Ertay, T., & Buyukozkan, G. (2006). A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171(2), 390-411. doi: https://doi.org/10.1016/j.ejor.2004.09.016

Karami, E. (2006). Appropriateness of farmers’ adoption of irrigation methods: The application of the AHP model. Agricultural Systems, 87(1), 101-119. doi: https://doi.org/10.1016/j.agsy.2005.01.001

Karsak, E. E., Sozer, S., & Alptekin, S. E. (2003). Product planning in quality function deployment using a combined analytic network process and goal programming approach. Computers & Industrial Engineering, 44(1), 171-190. doi: https://doi.org/10.1016/s0360-8352(02)00191-2

Koc, E., & Burhan, H. A. (2015). An application of analytic hierarchy process (AHP) in a real world problem of store location selection. Advances in Management and Applied Economics, 5(1), 41.

Kone, A. C., & Buke, T. (2007). An Analytical Network Process (ANP) evaluation of
alternative fuels for electricity generation in Turkey. Energy policy, 35(10), 5220-5228.

Kovacs, J. M., Malczewski, J., & Flores-Verdugo, F. (2004). Examining local ecological knowledge of hurricane impacts in a mangrove forest using an analytical hierarchy process (AHP) approach. Journal of Coastal Research, 1(1), 792-800. doi: https://doi.org/10.2112/1551-5036(2004)20[792:elekoh]2.0.co;2

Kuo, R. J., Chi, S.-C., & Kao, S.-S. (2002). A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network. Computers in Industry, 47(2), 199-214. doi: https://doi.org/10.1016/s0166-3615(01)00147-6

Kurttila, M., Pesonen, M., Kangas, J., & Kajanus, M. (2000). Utilizing the analytic hierarchy process (AHP) in SWOT analysis—a hybrid method and its application to a forest-certification case. Forest Policy and Economics, 1(1), 41-52. doi: https://doi.org/10.1016/s1389-9341(99)00004-0

Kwong, C.-K., & Bai, H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of Intelligent Manufacturing, 13(5), 367-377.

Lai, V. S., Wong, B. K., & Cheung, W. (2002). Group decision making in a multiple criteria environment: A case using the AHP in software selection. European Journal of Operational Research, 137(1), 134-144. doi: https://doi.org/10.1016/s0377-2217(01)00084-4

Laukkanen, E., Itkonen, J., & Lassenius, C. (2017). Problems, causes and solutions when adopting continuous delivery—A systematic literature review. Information and Software Technology, 82, 55-79. doi: https://doi.org/10.1016/j.infsof.2016.10.001

Lee, H., Kim, C., Cho, H., & Park, Y. (2009). An ANP-based technology network for identification of core technologies: A case of telecommunication technologies. Expert Systems with Applications, 36(1), 894-908. doi: https://doi.org/10.1016/j.eswa.2007.10.026

Lee, J. W., & Kim, S. H. (2000). Using analytic network process and goal programming for interdependent information system project selection. Computers & Operations Research, 27(4), 367-382. doi: https://doi.org/10.1016/s0305-0548(99)00057-x

Lee, S. K., Yoon, Y. J., & Kim, J. W. (2007). A study on making a long-term improvement in the national energy efficiency and GHG control plans by the AHP approach. Energy Policy, 35(5), 2862-2868. doi: https://doi.org/10.1016/j.enpol.2006.09.019

Leung, L. C., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102-113. doi: https://doi.org/10.1016/s0377-2217(99)00118-6

Leung, L. C., & Cao, D. (2001). On the efficacy of modeling multi-attribute decision problems using AHP and Sinarchy. European Journal of Operational Research, 132(1), 39-49. doi: https://doi.org/10.1016/s0377-2217(00)00111-9

Leung, L. C., Hui, Y. V., & Zheng, M. (2003). Analysis of compatibility between interdependent matrices in ANP. Journal of the Operational Research Society, 54(7), 758-768. doi: https://doi.org/10.1057/palgrave.jors.2601569

Leung, L. C., Lam, K. C., & Cao, D. (2006). Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process. Journal of the Operational Research Society, 57(6), 682-691. doi: https://doi.org/10.1057/palgrave.jors.2602040

Lin, Y.-H., Chiu, C.-C., & Tsai, C.-H. (2008). The study of applying ANP model to assess dispatching rules for wafer fabrication. Expert Systems with Applications, 34(3), 2148-2163. doi: https://doi.org/10.1016/j.eswa.2007.02.033

Lin, Y.-H., Tsai, K.-M., Shiang, W.-J., Kuo, T.-C., & Tsai, C.-H. (2009). Research on using ANP to establish a performance assessment model for business intelligence systems. Expert Systems with Applications, 36(2), 4135-4146. doi: https://doi.org/10.1016/j.eswa.2008.03.004

Lipovetsky, S., & Conklin, W. M. (2002). Robust estimation of priorities in the AHP. European Journal of Operational Research, 137(1), 110-122. doi: https://doi.org/10.1016/s0377-2217(01)00071-6

Lu, E., & Hsiao, S.-w. (2006). ANP-GP approach for product variety design. The International Journal of Advanced Manufacturing Technology, 29(3-4), 216-225. doi: https://doi.org/10.1007/s00170-005-2506-3

Marcarelli, G. (2017). Evaluating healthcare organizations by a network model which integrates ANP with a revised-bsc. International Journal of the Analytic Hierarchy Process, 9(1), 1. doi: https://doi.org/10.13033/ijahp.v9i1.443

Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014. Expert systems with Applications, 42(8), 4126-4148. doi: https://doi.org/10.1016/j.eswa.2015.01.003

Mardle, S., Pascoe, S., & Herrero, I. (2004). Management objective importance in fisheries: an evaluation using the analytic hierarchy process (AHP). Environmental Management, 33(1), 1-11. doi: https://doi.org/10.1007/s00267-003-3070-y

Mikhailov, L., & Singh, M. G. (2003). Fuzzy analytic network process and its application to the development of decision support systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 33(1), 33-41. doi: https://doi.org/10.1109/tsmcc.2003.809354

Millet, I., & Saaty, T. L. (2000). On the relativity of relative measures–accommodating both rank preservation and rank reversals in the AHP. European Journal of Operational Research, 121(1), 205-212. doi: https://doi.org/10.1016/s0377-2217(99)00040-5

Modarres, M., & Zarei, B. (2002). Application of network theory and AHP in urban transportation to minimize earthquake damages. Journal of the Operational Research Society, 53(12), 1308-1316. doi: https://doi.org/10.1057/palgrave.jors.2601470

Mohanty, R. P., Agarwal, R., Choudhury, A. K., & Tiwari, M. K. (2005). A fuzzy ANP-based approach to R&D project selection: a case study. International Journal of Production Research, 43(24), 5199-5216. doi: https://doi.org/10.1080/00207540500219031

Momoh, J. A., & Zhu, J. (2003). Optimal generation scheduling based on AHP/ANP. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 33(3), 531-535. doi: https://doi.org/10.1109/tsmcb.2003.811122

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213-228. doi: https://doi.org/10.1007/s11192-015-1765-5

Monitto, M., Pappalardo, P., & Tolio, T. (2002). A new fuzzy AHP method for the evaluation of automated manufacturing systems. CIRP Annals, 51(1), 395-398. doi: https://doi.org/10.1016/s0007-8506(07)61545-5

Mu, E. (2006). A unified framework for site selection and business forecasting using ANP. Journal of Systems Science and Systems Engineering, 15(2), 178-188. doi: https://doi.org/10.1007/s11518-006-5006-6

Muller, M. H., & Fairlie-Clarke, A. C. (2001). Using the AHP to determine the correlation of product issues to profit. European Journal of Marketing, 35(7/8), 843-858. doi: https://doi.org/10.1108/03090560110396269

Nallusamy, S., Kumar, D. S., Balakannan, K., & Chakraborty, P. S. (2016). MCDM tools application for selection of suppliers in manufacturing industries using AHP, Fuzzy Logic and ANN. International Journal of Engineering Research in Africa, 19, 130-137. doi: https://doi.org/10.4028/www.scientific.net/jera.19.130

Neaupane, K. M., & Piantanakulchai, M. (2006). Analytic network process model for landslide hazard zonation. Engineering Geology, 85(3-4), 281-294. doi: https://doi.org/10.1016/j.enggeo.2006.02.003

Nguyen, T., & Nahavandi, S. (2015). Modified AHP for gene selection and cancer classification using type-2 fuzzy logic. IEEE Transactions on Fuzzy Systems, 24(2), 273-287. doi: https://doi.org/10.1109/tfuzz.2015.2453153

Niemira, M. P., & Saaty, T. L. (2004). An analytic network process model for financial-crisis forecasting. International Journal of Forecasting, 20(4), 573-587. doi: https://doi.org/10.1016/j.ijforecast.2003.09.013

Nilashi, M., Ahmadi, H., Ahani, A., Ravangard, R., & Ibrahim, O. b. (2016). Determining the importance of hospital information system adoption factors using fuzzy analytic network process (ANP). Technological Forecasting and Social Change, 111(1), 244-264. doi: https://doi.org/10.1016/j.techfore.2016.07.008

Nishizawa, K. (2000). Bi-directional nearness in a network by AHP (Analytic Hierarchy Process) and ANP (Analytic Network Process). RAIRO-Operations Research-Recherche Opérationnelle, 34(3), 313-330. doi: https://doi.org/10.1051/ro:2000116

Ohta, K., Kobashi, G., Takano, S., Kagaya, S., Yamada, H., Minkami, H., & Yamamura, E. (2007). Analysis of the geographical accessibility of neurosurgical emergency hospitals in Sapporo city using GIS and AHP. International Journal of Geographical Information Science, 21(6), 687-698. https://doi.org/10.1080/13658810601135692

Omasa, T., Kishimoto, M., Kawase, M., & Yagi, K. (2004). An attempt at decision making in tissue engineering: reactor evaluation using the analytic hierarchy process (AHP). Biochemical Engineering Journal, 20(2-3), 173-179. doi: https://doi.org/10.1016/j.bej.2003.09.015

Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455. doi: https://doi.org/10.1016/s0377-2217(03)00020-1


Ortiz, M. A., Felizzola, H. A., & Isaza, S. N. (2015). A contrast between DEMATEL-ANP and ANP methods for six sigma project selection: a case study in healthcare industry. BMC Medical Informatics and Decision Making, 15(3), S3. doi: https://doi.org/10.1186/1472-6947-15-s3-s3

Ozsahin, I., Sharif, T., Ozsahin, D. U., & Uzun, B. (2019). Evaluation of solid-state detectors in medical imaging with fuzzy PROMETHEE. Journal Of Instrumentation, 14(1), C01019. doi: https://doi.org/10.1088/1748-0221/14/01/c01019

Ozturk, H., Pekel, E., & Elevli, B. (2018). Using ANP and ELECTRE Methods for Supplier Selection: Cable Industry Application. Sakarya University Journal of Science, 22(5), 1190-1198.

Pal, D. K., Ravi, B., & Bhargava, L. S. (2007). Rapid tooling route selection for metal casting using QFD–ANP methodology. International Journal of Computer Integrated Manufacturing, 20(4), 338-354. doi: https://doi.org/10.1080/09511920600883229

Pecchia, L., Martin, J. L., Ragozzino, A., & Vanzanella, C. (2013). User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner. BMC Medical Informatics and Decision Making, 13(1), 2. doi: https://doi.org/10.1186/1472-6947-13-2

Promentilla, M. A., Furuichi, K. I., & Tanikawa, N. (2006). Evaluation of remedial countermeasures using the analytic network process. Waste Management, 26(12), 1410-1421. doi: https://doi.org/10.1016/j.wasman.2005.11.020

Ravi, V., Shankar, R., & Tiwari, M. K. (2005). Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. Computers & industrial engineering, 48(2), 327-356. doi: https://doi.org/10.1016/j.cie.2005.01.017

Ravi, V., Shankar, R., & Tiwari, M. K. (2008). Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach. International Journal of Production Research, 46(17), 4849-4870. doi: https://doi.org/10.1080/00207540601115989

Roy, B. (1968). Classement et choix en présence de points de vue multiples. Revue Française D'informatique et de Recherche Opérationnelle, 2(8), 57-75. doi: https://doi.org/10.1051/ro/196802v100571

Saaty, T. L. (2001). Decision making with dependence and feedback: The Analytic Network Process (2, illustrated ed.). Pittsburgh: RWS Publications.

Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of Systems Science and Systems Engineering, 13(1), 1-35. doi: https://doi.org/10.1007/s11518-006-0151-5

Saaty, T. L. (2004). Fundamentals of the analytic network process—Dependence and feedback in decision-making with a single network. Journal of Systems Science and Systems Engineering, 13(2), 129-157. doi: https://doi.org/10.1007/s11518-006-0158-y

Saaty, T. L. (2004). Fundamentals of the analytic network process—multiple networks with benefits, costs, opportunities and risks. Journal of Systems Science and Systems Engineering,, 13(3), 348-379. doi: https://doi.org/10.1007/s11518-006-0171-1

Saaty, T. L. (2005). Making and validating complex decisions with the AHP/ANP. Journal of Systems Science and Systems Engineering, 14(1), 1-36. doi: https://doi.org/10.1007/s11518-006-0179-6

Saaty, T. L. (2007). Time dependent decision-making; dynamic priorities in the AHP/ANP: Generalizing from points to functions and from real to complex variables. Mathematical and Computer Modelling, 46(7-8), 860-891. doi: https://doi.org/10.1016/j.mcm.2007.03.028

Sax, L. J., Kanny, M. A., Jacobs, J. A., Whang, H., Weintraub, D. S., & Hroch, A. (2016). Understanding the changing dynamics of the gender gap in undergraduate engineering majors: 1971–2011. Research in Higher Education, 57(5), 570-600. doi: https://doi.org/10.1007/s11162-015-9396-5

Sekitani, K., & Takahashi, I. (2001). A unified model and analysis for AHP and ANP. Journal of the Operations Research Society of Japan, 44(1), 67-89. doi: https://doi.org/10.15807/jorsj.44.67

Sekitani, K., & Takahashi, I. (2005). A new approach of revising unstable data in ANP by Bayes theorem. Journal of the Operations Research Society of Japan, 48(1), 24-40. doi: https://doi.org/10.15807/jorsj.48.24

Sevinc, A., Gur, S., & Eren, T. (2018). Analysis of the difficulties of SMEs in industry 4.0 applications by Analytical Hierarchy Process and Analytical Network Process. Processes, 6(12), 264. doi: https://doi.org/10.3390/pr6120264

Seyedmohammadi, J., Sarmadian, F., Jafarzadeh, A. A., Ghorbani, M. A., & Shahbazi, F. (2018). Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops. Geoderma, 310, 178-190. doi: https://doi.org/10.1016/j.geoderma.2017.09.012

Shen, K.-Y., & Tzeng, G.-H. (2018). Advances in multiple criteria decision making for sustainability: modeling and applications. Sustainability, 10(5), 1600. doi: https://doi.org/10.3390/su10051600

Shinde, D. D., & Prasad, R. (2018). Application of AHP for ranking of total productive maintenance pillars. Wireless Personal Communications, 100(2), 449-462. doi: https://doi.org/10.1007/s11277-017-5084-4

Shyur, H.-J. (2006). COTS evaluation using modified TOPSIS and ANP. Applied Mathematics and Computation, 177(1), 251-259. doi: https://doi.org/10.1016/j.amc.2005.11.006

Simunich, B. (2007). In the fall of 2002, the ANP had shown a better way to deal with Iraq. Mathematical and Computer Modelling, 46(7-8), 1130-1143. doi: https://doi.org/10.1016/j.mcm.2007.03.002

Singh, A., & Prasher, A. (2019). Measuring healthcare service quality from patients’ perspective: using Fuzzy AHP application. Total Quality Management & Business Excellence, 30(3-4), 284-300. doi: https://doi.org/10.1080/14783363.2017.1302794

Sinuany-Stern, Z., Mehrez, A., & Hadad, Y. (2000). An AHP/DEA methodology for ranking decision making units. International Transactions in Operational Research, 7(2), 109-124. doi: https://doi.org/10.1111/j.1475-3995.2000.tb00189.x

Sipahi, S., & Timor, M. (2010). The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, 48(5), 775-808. doi: https://doi.org/10.1108/00251741011043920

Solnes, J. (2003). Environmental quality indexing of large industrial development alternatives using AHP. Environmental Impact Assessment Review, 23(3), 283-303. doi: https://doi.org/10.1016/s0195-9255(03)00004-0

Su, X. Y., Hipel, K. W., & Kilgour, D. M. (2005). Comparison of the analytic network process and the graph model for conflict resolution. Journal of Systems Science and Systems Engineering, 14(3), 308-325. doi: https://doi.org/10.1007/s11518-006-0196-5

Tam, M. C., & Tummala, V. R. (2001). An application of the AHP in vendor selection of a telecommunications system. Omega, 29(2), 171-182. doi: https://doi.org/10.1016/s0305-0483(00)00039-6

Tesfamariam, D., & Lindberg, B. (2005). Aggregate analysis of manufacturing systems using system dynamics and ANP. Computers & Industrial Engineering, 49(1), 98-117. doi: https://doi.org/10.1016/j.cie.2005.05.001

Tesfamariam, S., & Sadiq, R. (2006). Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP). Stochastic Environmental Research and Risk Assessment, 21(1), 35-50. doi: https://doi.org/10.1007/s00477-006-0042-9

Tosun, O. K., Gungor, A., & Topcu, Y. l. (2008). ANP application for evaluating Turkish mobile communication operators. Journal of Global Optimization, 42(2),
313-324. doi: https://doi.org/10.1007/s10898-007-9257-7

Tsai, W.-H., & Chou, W.-C. (2009). Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert systems with applications, 36(2), 1444-1458. doi: https://doi.org/10.1016/j.eswa.2007.11.058

Tummala, V. R., & Ling, H. (2000). A note on the sampling distribution of the information content of the priority vector of a consistent pairwise comparison judgment matrix of AHP. Journal of the Operational Research Society, 51(2), 237-240. doi: https://doi.org/10.1057/palgrave.jors.2600857

Vahidnia, M. H., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90(10), 3048-3056. doi: https://doi.org/10.1016/j.jenvman.2009.04.010

Van der Honert, R. C. (2001). Decisional power in group decision making: a note on the allocation of group members' weights in the multiplicative AHP and SMART. Group Decision and Negotiation, 10(3), 275-286. doi: https://doi.org/10.1023/a:1011201501379

Wang, J., Fan, K., & Wang, W. (2010). Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment. Expert Systems with Applications, 37(12), 8516-8526. doi: https://doi.org/10.1016/j.eswa.2010.05.024

Wang, M., Yue, X., Gao, C., & Chen, Y. (2018). Feature selection ensemble for symbolic data classification with AHP. Beijing: IEEE. doi: https://doi.org/10.1109/icpr.2018.8546098

Wedley, W. C., Choo, E. U., & Schoner, B. (2001). Magnitude adjustment for AHP benefit/cost ratios. European Journal of Operational Research, 133(2), 342-351. doi: https://doi.org/10.1016/s0377-2217(00)00302-7

Wey, W.-M., & Wu, K.-Y. (2007). Using ANP priorities with goal programming in resource allocation in transportation. Mathematical and Computer Modelling, 46(7-8), 985-1000. doi: https://doi.org/10.1016/j.mcm.2007.03.017

Wijnmalen, D. J. (2007). Analysis of benefits, opportunities, costs, and risks (BOCR) with the AHP–ANP: A critical validation. Mathematical and Computer Modelling, 46(7-8), 892-905. doi: https://doi.org/10.1016/j.mcm.2007.03.020

Wolfslehner, B., Vacik, H., & Lexer, M. J. (2005). Application of the analytic network process in multi-criteria analysis of sustainable forest management. Forest Ecology and Management, 207(1-2), 157-170. doi: https://doi.org/10.1016/j.foreco.2004.10.025

Wu, W.-W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35(3), 828-835. doi: https://doi.org/10.1016/j.eswa.2007.07.025

Xu, Z. (2000). On consistency of the weighted geometric mean complex judgement matrix in AHP. European Journal of Operational Research, 126(3), 683-687. doi: https://doi.org/10.1016/s0377-2217(99)00082-x

Yang, J. L., Chiu, H. N., Tzeng, G.-H., & Yeh, R. H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences, 178(21), 4166-4183. doi: https://doi.org/10.1016/j.ins.2008.06.003

Yang, J., Shen, L., Jin, X., Hou, L., Shang, S., & Zhang, Y. (2019). Evaluating the quality of simulation teaching in Fundamental Nursing Curriculum: AHP-Fuzzy comprehensive evaluation. Nurse Education Today, 77, 77-82. doi: https://doi.org/10.1016/j.nedt.2019.03.012

Yanie, A., Hasibuan, A., Shak, I., Marsono, M., Lubis, S., Nurmalini, N., . . . Nudiyanto, H. (2018). Web based application for decision support system with ELECTRE method. Makassar: IOP Publishing. doi: https://doi.org/10.1088/1742-6596/1028/1/012054
Ying, X., Zeng, G.-M., Chen, G.-Q., Tang, L., Wang, K.-L., & Huang, D.-Y. (2007). Combining AHP with GIS in synthetic evaluation of eco-environment quality—A case study of Hunan Province, China. Ecological modelling, 209(2-4), 97-109. doi: https://doi.org/10.1016/j.ecolmodel.2007.06.007

Yoshimatsu, H., & Abe, S. (2006). A review of landslide hazards in Japan and assessment of their susceptibility using an analytical hierarchic process (AHP) method. Landslides, 3(2), 149-158. doi: https://doi.org/10.1007/s10346-005-0031-y

Yu, C.-S. (2002). A GP-AHP method for solving group decision-making fuzzy AHP problems. Computers & Operations Research, 29(14), 1969-2001. doi: https://doi.org/10.1016/s0305-0548(01)00068-5

Yuksel, I., & Dagdeviren, M. (2007). Using the analytic network process (ANP) in a SWOT analysis–A case study for a textile firm. Information sciences, 177(16), 3364-3382. doi: https://doi.org/10.1016/j.ins.2007.01.001

Yurdakul, M. (2003). Measuring long-term performance of a manufacturing firm using the Analytic Network Process (ANP) approach. International Journal of Production Research, 41(11), 2501-2529. doi: https://doi.org/10.1080/0020754031000088183

Yusuff, R. M., Yee, K. P., & Hashmi, M. S. (2001). A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation. Robotics and Computer-Integrated Manufacturing, 17(5), 421-427. doi: https://doi.org/10.1016/s0736-5845(01)00016-3

Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and economic development of economy, 17(2), 397-427. doi: https://doi.org/10.3846/20294913.2011.593291

Zegordi, S. H., Nik, E. R., & Nazari, A. (2012). Power plant project risk assessment using a fuzzy-ANP and fuzzy-TOPSIS method. International Journal of Engineering-Transactions B: Applications, 25(2), 107-120. doi: https://doi.org/10.5829/idosi.ije.2012.25.02b.04

Zheng, D., & Ruan, P. (2007). General conception of livable city basing on ANP [J]. Urban Studies, 3(1).

Zhi-xiang, C. (2004). Model and algorithms of supply and demand coordination performance measurement based on ANP theory [J]. Computer Integrated Manufacturing Systems, 3.

Zohoori, A., Vahedi, A., Meo, S., & Sorrentino, V. (2016). An improved AHP method for multi-objective design of FSPM machine for wind farm applications. Journal of Intelligent & Fuzzy Systems, 30(1), 159-169. doi: https://doi.org/10.3233/ifs-151742

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