How to cite this paper
Görçün, & Küçükönder, H. (2021). A novel performance evaluation technique based on integrated weighting approach: A case study in the field of sport management.Decision Science Letters , 10(4), 511-524.
Refrences
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.
Casals, M., & Martinez, A. J. (2013). Modelling player performance in basketball through mixed models. International Journal of Performance Analysis in Sport, 13(1), 64-82.
Chakraborty, S., & Zavadskas, E. K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963-973.
Deveci, M., Canıtez, F., & Gökaşar, I. (2018). WASPAS and TOPSIS based interval type-2 fuzzy MCDM method for a selection of a car sharing station. Sustainable Cities and Society, 41, 777-791.
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.
Djordjević, D. P., Vujošević, M., & Martić, M. (2015). Measuring efficiency of football teams by multi-stage DEA model. Technical Gazette, 22(3), 763-770.
Duch, J., Waitzman, J. S., & Amaral, L. A. N. (2010). Quantifying the performance of individual players in a team activity. PloS one, 5(6), e10937.
Ecer F.(2020). Çok Kriterli Karar Verme Geçmişten Günümüze Kapsamlı Bir Yaklaşım. Yayın Yeri:Seçkin Yayıncılık, Basım sayısı:1, ISBN:978-975-02-6017-9.
Fernandez-Navarro, J., Fradua, L., Zubillaga, A., Ford, P. R., & McRobert, A. P. (2016). Attacking and defensive styles of play in soccer: analysis of Spanish and English elite teams. Journal of Sports Sciences, 34(24), 2195-2204..
Hu, Z. H., Zhou, J. X., Zhang, M. J., & Zhao, Y. (2015). Methods for ranking college sports coaches based on data envelopment analysis and PageRank. Expert Systems, 32(6), 652-673.
Jarvandi, A., Sarkani, S., & Mazzuchi, T. (2013). Modeling team compatibility factors using a semi-Markov decision process: a data-driven approach to player selection in soccer. Journal of Quantitative Analysis in Sports, 9(4), 347-366.
Jian, S., & Yin, S. (2017). Preference Selection Index Method for Machine Selection in a Flexible Manufacturing Cell. MATEC Web of Conferences 139, 00167 (2017), ICMITE 2017, DOI: 10.1051/matecconf/201713900167.
Karabašević, D., Stanujkić, D., Urošević, S., & Maksimović, M. (2016). An approach to personnel selection based on SWARA and WASPAS methods. Bizinfo (Blace) Journal of Economics, Management and Informatics, 7(1), 1-11.
Karsak, E. E. (2000, October). A fuzzy multiple objective programming approach for personnel selection. In Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics.'cybernetics evolving to systems, humans, organizations, and their complex interactions'(cat. no. 0 (Vol. 3, pp. 2007-2012). IEEE.
Kedar-Levy, H., & Bar-Eli, M. (2008). The valuation of athletes as risky investments: A theoretical model. Journal of Sport Management, 22(1), 50-81.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
de Korvin, A., Shipley, M. F., & Kleyle, R. (2002). Utilizing fuzzy compatibility of skill sets for team selection in multi-phase projects. Journal of Engineering and Technology Management, 19(3-4), 307-319.
Lago-Ballesteros, J., & Lago-Peñas, C. (2010). Performance in team sports: Identifying the keys to success in soccer. Journal of Human kinetics, 25, 85-91.
Maniya K., & Bhatt, M.G. (2010). A selection of material using a novel type decision-making method: preference selection index method. Materials & Design., 31(4), 1785-1789.
Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265-292.
Mirabile, M. P., & Witte, M. D. (2015). A discrete-choice model of a college football recruit's program selection decision. Journal of Sports Economics, 18(3), 211-238.
Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.
Qader, M. A., BB, Z., Ali, S. K., Kamaluddin, M. A., & Radzi, W. B. (2017). A methodology for football players’ selection problem based on multi- measurements criteria analysis. Measurement, 111, 38-50.
Sahir, S. H. (2018). The Preference Selection Index method in determining the location of used laptop marketing. International Journal of Engineering Technology, 7(3-4).
Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231.
Tenga, A., Holme, I., Ronglan, L. T., & Bahr, R. (2010). Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. Journal of Sports Sciences, 28(3), 245-255.
Torkayesh, A. E., Pamucar, D., Ecer, F., & Chatterjee, P. (2021). An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences, 101052.
Vaeyens, R., Malina, R. M., Janssens, M., Van Renterghem, B., Bourgois, J., Vrijens, J., & Philippaerts, R. M. (2006). A multidisciplinary selection model for youth soccer: the Ghent Youth Soccer Project. British Journal of Sports Medicine, 40(11), 928-934.
Vinchurkar, S. H., & Samtani, B. K. (2019). Performance Evaluation of The Hydropower Plants Using Various Multi-Criteria Decision-Making Techniques. International Journal of Engineering and Advanced Technology, 8, 2031-2038.
Vujić, D., Stanujkić, D., Urošević, S., & Karabašević, D. (2016). An approach to leader selection in the mining industry based on the use of weighted sum preferred levels of the performances method. Mining and Metallurgy Engineering Bor, 4, 53-62.
Wang, Y. M., & Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling, 51(1-2), 1-12.
Woods, C. T., Raynor, A. J., Bruce, L., McDonald, Z., & Robertson, S. (2016). The application of a multi-dimensional assessment approach to talent identification in Australian football. Journal of Sports Sciences, 34(14), 1340-1345.
Yazdani, M., Torkayesh, A. E., & Chatterjee, P. (2020). An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital. Journal of Enterprise Information Management, 33(5),
Zhang, Q., Xu, W., & Zhang, J. (2014). Method for determining the weight of functional objectives on manufacturing system. The Scientific World Journal, 2014.
Zhang, X., Wang, C., Li, E., & Xu, C. (2014). Assessment model of ecoenvironmental vulnerability based on improved entropy weight method. The Scientific World Journal, 2014.
Zietsman, J., Rilett, L. R., & Kim, S.-J. (2006). Transportation corridor decision-making with multi-attribute utility theory. International Journal of Management and Decision Making, 7(2), 254-266.
Yazdani M, Torkayesh AE, Chatterjee P. An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital. J Enterprise Inf Manag 2020
Casals, M., & Martinez, A. J. (2013). Modelling player performance in basketball through mixed models. International Journal of Performance Analysis in Sport, 13(1), 64-82.
Chakraborty, S., & Zavadskas, E. K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.
Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963-973.
Deveci, M., Canıtez, F., & Gökaşar, I. (2018). WASPAS and TOPSIS based interval type-2 fuzzy MCDM method for a selection of a car sharing station. Sustainable Cities and Society, 41, 777-791.
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.
Djordjević, D. P., Vujošević, M., & Martić, M. (2015). Measuring efficiency of football teams by multi-stage DEA model. Technical Gazette, 22(3), 763-770.
Duch, J., Waitzman, J. S., & Amaral, L. A. N. (2010). Quantifying the performance of individual players in a team activity. PloS one, 5(6), e10937.
Ecer F.(2020). Çok Kriterli Karar Verme Geçmişten Günümüze Kapsamlı Bir Yaklaşım. Yayın Yeri:Seçkin Yayıncılık, Basım sayısı:1, ISBN:978-975-02-6017-9.
Fernandez-Navarro, J., Fradua, L., Zubillaga, A., Ford, P. R., & McRobert, A. P. (2016). Attacking and defensive styles of play in soccer: analysis of Spanish and English elite teams. Journal of Sports Sciences, 34(24), 2195-2204..
Hu, Z. H., Zhou, J. X., Zhang, M. J., & Zhao, Y. (2015). Methods for ranking college sports coaches based on data envelopment analysis and PageRank. Expert Systems, 32(6), 652-673.
Jarvandi, A., Sarkani, S., & Mazzuchi, T. (2013). Modeling team compatibility factors using a semi-Markov decision process: a data-driven approach to player selection in soccer. Journal of Quantitative Analysis in Sports, 9(4), 347-366.
Jian, S., & Yin, S. (2017). Preference Selection Index Method for Machine Selection in a Flexible Manufacturing Cell. MATEC Web of Conferences 139, 00167 (2017), ICMITE 2017, DOI: 10.1051/matecconf/201713900167.
Karabašević, D., Stanujkić, D., Urošević, S., & Maksimović, M. (2016). An approach to personnel selection based on SWARA and WASPAS methods. Bizinfo (Blace) Journal of Economics, Management and Informatics, 7(1), 1-11.
Karsak, E. E. (2000, October). A fuzzy multiple objective programming approach for personnel selection. In Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics.'cybernetics evolving to systems, humans, organizations, and their complex interactions'(cat. no. 0 (Vol. 3, pp. 2007-2012). IEEE.
Kedar-Levy, H., & Bar-Eli, M. (2008). The valuation of athletes as risky investments: A theoretical model. Journal of Sport Management, 22(1), 50-81.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
de Korvin, A., Shipley, M. F., & Kleyle, R. (2002). Utilizing fuzzy compatibility of skill sets for team selection in multi-phase projects. Journal of Engineering and Technology Management, 19(3-4), 307-319.
Lago-Ballesteros, J., & Lago-Peñas, C. (2010). Performance in team sports: Identifying the keys to success in soccer. Journal of Human kinetics, 25, 85-91.
Maniya K., & Bhatt, M.G. (2010). A selection of material using a novel type decision-making method: preference selection index method. Materials & Design., 31(4), 1785-1789.
Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265-292.
Mirabile, M. P., & Witte, M. D. (2015). A discrete-choice model of a college football recruit's program selection decision. Journal of Sports Economics, 18(3), 211-238.
Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.
Qader, M. A., BB, Z., Ali, S. K., Kamaluddin, M. A., & Radzi, W. B. (2017). A methodology for football players’ selection problem based on multi- measurements criteria analysis. Measurement, 111, 38-50.
Sahir, S. H. (2018). The Preference Selection Index method in determining the location of used laptop marketing. International Journal of Engineering Technology, 7(3-4).
Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231.
Tenga, A., Holme, I., Ronglan, L. T., & Bahr, R. (2010). Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. Journal of Sports Sciences, 28(3), 245-255.
Torkayesh, A. E., Pamucar, D., Ecer, F., & Chatterjee, P. (2021). An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences, 101052.
Vaeyens, R., Malina, R. M., Janssens, M., Van Renterghem, B., Bourgois, J., Vrijens, J., & Philippaerts, R. M. (2006). A multidisciplinary selection model for youth soccer: the Ghent Youth Soccer Project. British Journal of Sports Medicine, 40(11), 928-934.
Vinchurkar, S. H., & Samtani, B. K. (2019). Performance Evaluation of The Hydropower Plants Using Various Multi-Criteria Decision-Making Techniques. International Journal of Engineering and Advanced Technology, 8, 2031-2038.
Vujić, D., Stanujkić, D., Urošević, S., & Karabašević, D. (2016). An approach to leader selection in the mining industry based on the use of weighted sum preferred levels of the performances method. Mining and Metallurgy Engineering Bor, 4, 53-62.
Wang, Y. M., & Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling, 51(1-2), 1-12.
Woods, C. T., Raynor, A. J., Bruce, L., McDonald, Z., & Robertson, S. (2016). The application of a multi-dimensional assessment approach to talent identification in Australian football. Journal of Sports Sciences, 34(14), 1340-1345.
Yazdani, M., Torkayesh, A. E., & Chatterjee, P. (2020). An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital. Journal of Enterprise Information Management, 33(5),
Zhang, Q., Xu, W., & Zhang, J. (2014). Method for determining the weight of functional objectives on manufacturing system. The Scientific World Journal, 2014.
Zhang, X., Wang, C., Li, E., & Xu, C. (2014). Assessment model of ecoenvironmental vulnerability based on improved entropy weight method. The Scientific World Journal, 2014.
Zietsman, J., Rilett, L. R., & Kim, S.-J. (2006). Transportation corridor decision-making with multi-attribute utility theory. International Journal of Management and Decision Making, 7(2), 254-266.
Yazdani M, Torkayesh AE, Chatterjee P. An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital. J Enterprise Inf Manag 2020