Open Journal Systems


Seyhan Nisel, Muhlis Özdemir


Since the invention of AHP/ANP, several literature review studies have been presented to summarize theoretical developments and different application areas of its techniques. The purpose of this study is to present a comprehensive literature review of AHP and ANP applications in the field of sports. A total of 62 sports related AHP and ANP articles were selected, categorized and analyzed in this study. The findings show that AHP and ANP techniques have successfully been used for performance evaluation of teams, player selection and ranking, team or club performance ranking and coach evaluation in many sport branches.


literature review, AHP, ANP, sport

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Agılönü, A., & Ballı, S. (2009). Developing computer aided model for selecting players in badminton. Journal of Human Sciences, 6(2), 292-301.

Apostolou, B., & Hassell, J. M. (1993). An overview of the analytic hierarchy process and its use in accounting research. Journal of Accounting Literature, 12, 1.

Ballı, S., & Korukoğlu, S. (2014). Development of a fuzzy decision support framework for complex multi‐attribute decision problems: A case study for the selection of skilful basketball players. Expert Systems, 31(1), 56-69. Doi: 10.1111/exsy.12002

Bodin, L., & Epstein, E. (2000). Who’s on first–with probability 0.4. Computers & Operations Research, 27(3), 205-215. Doi:10.1016/S0305-0548(99)00002-7

Bruno, G., Esposito, E., Genovese, A., & Passaro, R. (2012). AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of Purchasing and Supply Management, 18(3), 159-172. Doi:

Cao, X. (2014). Coach evaluation method based on AHP. In Applied Mechanics and Materials, 551, 722-726. Doi: 10.4028/

Carlsson, C., & Walden, P. (1995). AHP in political group decisions: A study in the art of possibilities. Interfaces, 25(4), 14-29. Doi:

Chen, C. C., Lee, Y. T., & Tsai, C. M. (2014). Professional baseball team starting pitcher selection using AHP and TOPSIS methods. International Journal of Performance Analysis in Sport, 14(2), 545-563.

Chen, X. J. (2013). The green energy-saving design of stadium. Advanced Materials Research, 724, 1571-1574. Doi: 10.4028/

Chen, Y. Y., Zhang, M. J., Shen, Z., & Chen, J. X. (2014). Coaches ranking: A time-irrelevant data mining solution with flexibility and objectivity. Advanced Materials Research, 989, 5010-5013.

Doi: 10.4028/

de FSM Russo, R., & Camanho, R. (2015). Criteria in AHP: a systematic review of literature. Procedia Computer Science, 55, 1123-1132. Doi:10.1016/j.procs.2015.07.081

Dey, P. K., Banerjee, A., Ghosh, D. N., & Mondal, A. C. (2014). AHP-neural network based player price estimation in IPL. International Journal of Hybrid Information Technology, 7(3), 15-24. Doi:

Dey, P. K., Mondal, A. C., & Ghosh, D. N. (2012). Statistical based multi-criteria decision making analysis for performance measurement of batsmen in Indian Premier League. International Journal of Advanced Research in Computer Science, 3(4), 51-57.

Ding, L. (2016). Study on the influencing factors of applying nanotechnology in sport injury repair based on Analytic Hierarchy Process. Journal of Computational and Theoretical Nanoscience, 13(7), 4529-4532. Doi:

Djurovic, N., Stanisic, L., & Sbarro, F. Why do some elite players accomplish their Grand Slam goals while others fail?. ITF Coaching and Sport Science Review, 22(64), 11-13.

Đurović, N., Dizdar, D., & Zagorac, N. (2015). Importance of hierarchical structure determining tennis performance for modern defensive baseliner. Collegium Antropologicum, 39(Supplement 1), 103-108.

Gholamian, M. R., Fatemi Ghomi, S. M. T., & Ghazanfari, M. (2007). FARSJUM, a fuzzy system for ranking sparse judgment matrices: a case study in soccer tournaments. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(01), 115-129. Doi:

Golden, B. L., & Wasil, E. A. (1987). Ranking outstanding sports records. Interfaces, 17(5), 32-42. Doi:

Hamidi, M., Sajadi, H., & Soleimani-Damaneh, J. (2011). Evaluating the performance of Iranian football teams utilizing linear programming. American Journal of Operations Research, 1(02), 65. Doi:10.4236/ajor.2011.12010

Hirose, N., Nakamura, M., Hirotsu, N., Yoshimura, M., Suganami, M., & Maekawa, N. (2010). Evaluation of individual and team judo strengths using AHP technique and tTeam competition data. Journal of Quantitative Analysis in Sports, 6(4). Doi:

Ho, W. (2008). Integrated analytic hierarchy process and its applications–A literature review. European Journal of Operational Research, 186(1), 211-228. Doi:

Hraste, M., Dizdar, D., & Trninić, V. (2008). Experts opinion about system of the performance evaluation criteria weighted per positons in the water polo game. Collegium Antropologicum, 32(3), 851-861.

Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert systems with applications, 38(11), 14336-14345. Doi:

Junying, A. (2012). on emergency of large scale engineering sports events. Systems Engineering Procedia, 4, 416-423. Doi:10.1016/j.sepro.2012.01.005

Kai, G. (2014). Evaluation research on competitive ability of volleyball player based on ruzzy set of evaluation index and weight. Journal of Applied Sciences, 14(20), 2547. Doi: 10.3923/jas.2014.2547.2551

Kiani Mavi, R., Kiani Mavi, N., & Kiani, L. (2012). Ranking football teams with AHP and TOPSIS methods. International Journal of Decision Sciences, Risk and Management, 4(1-2), 108-126. Doi:

Kiema, J., Kipkemei, A., Karanja, F., & Musyoka, S. (2007). Using geoinformatics to identify suitable middle to long distance athletics' training sites in Kenya. International Journal of Sports Science & Coaching, 2(4), 473-484. Doi:10.1260/174795407783359669

Kim, H. B., Kim, S. H., & So, W. Y. (2015). The relative importance of performance factors in Korean archery. The Journal of Strength & Conditioning Research, 29(5), 1211-1219. Doi: 10.1519/JSC.0000000000000687

Kim, K., Kyung, T., Kim, W., Shin, C., Song, Y., Lee, M. Y., ... & Cho, Y. (2009). Efficient management design for swimming exercise treatment. The Korean Journal of Physiology & Pharmacology, 13(6), 497-502. Doi:

Lanoue, M. R., & Revetta, J. J. (1993). An analytic hierarchy approach to major league baseball offensive performance ratings. Mathematical and computer modelling, 17(4-5), 195-209. Doi:10.1016/0895-7177(93)90188-5

Lee, S., & Ross, S. D. (2012). Sport sponsorship decision making in a global market: An approach of Analytic Hierarchy Process (AHP). Sport, Business and Management: An International Journal, 2(2), 156-168. Doi:

Lee, S., & Walsh, P. (2011). SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport. Sport Management Review, 14(4), 361-369. Doi:

Li, P. L. (2014). Data processing and modelling with information technology in choosing college best trainer. Advanced Materials Research, 978, 221-225. Doi: 10.4028/

Liao, S. K., & Chang, K. L. (2009). Select televised sportscasters for Olympic Games by analytic network process. Management Decision, 47(1), 14-23. Doi:

Liberatore, M. J., & Nydick, R. L. (2008). The analytic hierarchy process in medical and health care decision making: A literature review. European Journal of Operational Research, 189(1), 194-207. Doi:

Lo, W. T., Chang, Y. S., Sheu, R. K., & Jung, J. (2014). The practice of two-phase recommender system for sporting goods. Malaysian Journal of Computer Science, 27(2).

Monarko, S., Lambert, K., & Sigmund, M. (2007). Should a new arena be built in the city of Pittsburgh?. Mathematical and Computer Modelling, 46(7), 1160-1182. Doi:

Mu, E. (2014). An MCDM reflection on the FIFA 2014 World Cup. International Journal of the Analytic Hierarchy Process, 6(1), 124-131. Doi:

Mu, E. (2016). Who really won the FIFA 2014 Golden Ball Award?: What sports can learn from multi-criteria decision analysis. International Journal of Sport Management and Marketing, 16(3-6),239-258. Doi:

Nishizawa, K. (1995). A consistency improving method in binary AHP. Journal of the operations research Society of Japan, 38(1), 21-33.

Ozceylan, E. (2016). A mathematical model using AHP priorities for soccer player selection: a case study. South African Journal of Industrial Engineering, 27(2), 190-205. DOI:

Parrott, S., Stamey, J., & Burcham, T. (2012). Forecasting rounds of golf. Foresight: The International Journal of Applied Forecasting, 24.

Partovi, F. Y., & Corredoira, R. A. (2002). Quality function deployment for the good of soccer. European journal of operational research, 137(3), 642-656. Doi:

Saaty, T. L. (2001). Decision making with dependence and feedback: The analytic network process. Pittsburgh. RWS Publications, 7, 557-570.

Saaty, T. L. (2008). Who won the 2008 Olympics? A multicriteria decision of measuring intangibles. Journal of Systems Science and Systems Engineering, 17(4), 473-486. Doi: 10.1007/s11518-008-5092-8

Saaty, T. L. (2010). Who won the Winter 2010 Olympics? A quest into priorities and rankings. Journal of Multi‐Criteria Decision Analysis, 17(1‐2), 25-36. Doi: 10.1002/mcda.451

Saaty, T. L., Liu, X., & Sanserino, M. (2014). Ranking countries by medal priorities won in the 2014 Sochi Winter Olympics. Annals of Data Science, 1(2), 151-172. Doi: 10.1007/s40745-014-0012-x

Sagir, M., & Saaty, T. L. (2015). Ranking countries more reliably in the Summer Olympics. International Journal of the Analytic Hierarchy Process, 7(3), 589-610. Doi:

Salimi, M., Soltanhosseini, M., Padash, D., & Khalili, E. (2012). Prioritization of the factors effecting privatization in sport clubs: with AHP & TOPSIS methods-emphasis in football. International Journal of Academic Research in Business and Social Sciences, 2(2), 102.

Shahlaee, J., & Ghorbanalizadeh Ghaziani, F. (2015). Privatization priorities of Iranian football clubs from the perspective of experts. Annals of Applied Sport Science, 3(2), 57-68.

Shim, J. P. (1989). Bibliographical research on the analytic hierarchy process (AHP). Socio-Economic Planning Sciences, 23(3), 161-167. Doi:10.1016/0038-0121(89)90013-X

Sinuany-Stern, Z. (1988). Ranking of sports teams via the AHP. Journal of the Operational Research Society, 39(7), 661-667.

Sinuany-Stern, Z., Israeli, Y., & Bar-Eli, M. (2005). Application of the analytic hierarchy process for the evaluation of basketball teams. International Journal of Sport Management and Marketing, 1(3), 193-207. Doi: 10.1057/jors.1988.112

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

Sitarz, S. (2013). Rankings in sport by pairwise comparison and league table. International Journal of Modern Education and Computer Science, 5(12), 24. Doi: 10.5815/ijmecs

Soleimani-Damaneh, J., Soleimani-Damaneh, M., & Hamidi, M. (2012). Efficiency analysis of provincial departments of physical education in Iran. International Journal of Information Technology & Decision Making, 11(05), 983-1008. Doi:

Subramanian, N., & Ramanathan, R. (2012). A review of applications of Analytic Hierarchy Process in operations management. International Journal of Production Economics, 138(2), 215-241. Doi:

Tang, H. C., & Dong, Y. A. (2014). Assessment of coaches using Data Envelopment Analysis and Analytical Hierarchy Process. Applied Mechanics and Materials,. 687, 1560-1563. Doi: 10.4028/

Trninić, S., & Dizdar, D. (2000). System of the performance evaluation criteria weighted per positions in the basketball game. Collegium Antropologicum, 24(1), 217-234.

Vachnadze, R. G., & Markozashvili, N. I. (1987). Some applications of the analytic hierarchy process. Mathematical Modelling, 9(3-5), 185-191. Doi:10.1016/0270-0255(87)90475-1

Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29. Doi:

Vargas, L. G. (1990). An overview of the analytic hierarchy process and its applications. European journal of operational research, 48(1), 2-8. Doi:10.1016/0377-2217(90)90056-H

Wan, F. X., Hu, D., & Tian, J. (2014). Evaluation of college coach capacity in USA. Advanced Materials Research, 998, 1693-1696. Doi:


Wang, C. Y. (2014). Evaluation of sports denter performance using a fuzzy multi-criteria decision-making model. Journal of Testing and Evaluation, 43(6), 1-11. Doi: 10.1520/JTE20130235

Wang, C. Y., Tsai, P. H., & Zheng, H. (2013). Constructing Taipei City sports centre performance evaluation model with fuzzy MCDM approach based on views of managers. Mathematical Problems in Engineering. 2013, 1-13. Doi:

Xing, J., Zhao, C., Wang, X. L., & Xiang, N. (2014). Identifying the best coach by an improved AHP model. Abstract and Applied Analysis, 2014, 1-7. Doi:

Xiong, F., Ding, W., & Li, J. (2014). Evaluation system for college coaching legends. UMAP Journal, 35.

Yu, K. G., & Park, S. Y. (2015). Selection and concentration strategy in the sports exchange between North and South Korea. Journal of Asian Public Policy, 8(2), 215-229. Doi:

Yu, K. T., Su, Z. X., & Zhuang, R. C. (2008). An exploratory study of long-term performance evaluation for elite basketball players. International Journal of Sports Science and Engineering, 2(4), 195-203.

Yun, Y. K. (2005). Importance of hierarchical structure of psychological factors determining football performance. International Journal of Applied Sports Sciences, 17(2).

Zhang, L., & Wang, Z. L. (2014). Establishment on comprehensive evaluation indication system for leisure sports development level. Applied Mechanics and Materials , 513, 3147-3150). Doi: 10.4028/

Zhang, Y., & Liu, C. J. (2011). Fuzzy Analytic Hierarchy in project risk management-New stadium construction project in Weifang City. Advanced Materials Research, 243, 6362-6368. Doi: 10.4028/

Zhao, J. (2014). Choose the best coach based on the theory of grey system. Advanced Materials Research, 998, 1757-1760. Doi:


Zhou, Z. X. (2013). Research on the preventive measures of sports injury based on causality diagram and analytic hierarchy process. Applied Mechanics and Materials, 380, 1838-1842.Doi: 10.4028/