ANALYTIC HIERARCHY PROCESS & ANALYTIC NETWORK PROCESS IN SPORT: A COMPREHENSIVE LITERATURE REVIEW
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Published
Dec 21, 2016
Seyhan Nisel
Muhlis Özdemir
Abstract
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.
How to Cite
Nisel, S., & Özdemir, M. (2016). ANALYTIC HIERARCHY PROCESS & ANALYTIC NETWORK PROCESS IN SPORT: A COMPREHENSIVE LITERATURE REVIEW. International Journal of the Analytic Hierarchy Process, 8(3). https://doi.org/10.13033/ijahp.v8i3.448
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Keywords
literature review, AHP, ANP, sport
References
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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: http://dx.doi.org/10.1016/j.pursup.2012.05.001
Cao, X. (2014). Coach evaluation method based on AHP. In Applied Mechanics and Materials, 551, 722-726. Doi: 10.4028/www.scientific.net/AMM.551.722
Carlsson, C., & Walden, P. (1995). AHP in political group decisions: A study in the art of possibilities. Interfaces, 25(4), 14-29. Doi: http://dx.doi.org/10.1287/inte.25.4.14
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/www.scientific.net/AMR.724-725.1571
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/www.scientific.net/AMR.989-994.5010
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: http://dx.doi.org/10.14257/ijhit.2014.7.3.03
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: https://doi.org/10.1166/jctn.2016.5316
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.
Äurović, 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: http://dx.doi.org/10.1142/S0218488507004406
Golden, B. L., & Wasil, E. A. (1987). Ranking outstanding sports records. Interfaces, 17(5), 32-42. Doi: http://dx.doi.org/10.1287/inte.17.5.32
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: https://doi.org/10.2202/1559-0410.1153
Ho, W. (2008). Integrated analytic hierarchy process and its applications–A literature review. European Journal of Operational Research, 186(1), 211-228. Doi: http://dx.doi.org/10.1016/j.ejor.2007.01.004
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: http://dx.doi.org/10.1016/j.eswa.2011.04.143
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: http://dx.doi.org/10.1504/IJDSRM.2012.046620
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: https://doi.org/10.4196/kjpp.2009.13.6.497
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: http://dx.doi.org/10.1108/20426781211243999
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: http://dx.doi.org/10.1016/j.smr.2010.12.003
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/www.scientific.net/AMR.978.221
Liao, S. K., & Chang, K. L. (2009). Select televised sportscasters for Olympic Games by analytic network process. Management Decision, 47(1), 14-23. Doi: http://dx.doi.org/10.1108/00251740910929678
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: http://dx.doi.org/10.1016/j.ejor.2007.05.001
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: http://dx.doi.org/10.1016/j.mcm.2007.03.019
Mu, E. (2014). An MCDM reflection on the FIFA 2014 World Cup. International Journal of the Analytic Hierarchy Process, 6(1), 124-131. Doi: http://dx.doi.org/10.13033/ijahp.v6i1.241
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: http://dx.doi.org/10.1504/IJSMM.2016.077933
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: http://dx.doi.org/10.7166/27-2-1265
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: http://dx.doi.org/10.1016/S0377-2217(01)00072-8
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
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