Document Type : Research Paper


1 Assistant professor, Industrial Management, Faculty of management, university of Tehran, Tehran, Iran

2 university of tehran


Today, sport competitions are being held under different titles around the world and have attracted many fans. Team sports like football and volleyball have turned to big businesses and huge amounts of money are involved in the transfer of team players. So, one of the important issues in sports is to search new team members to fill open positions and to enhance the quality of the teams. Single attribute decision has recently been made to select top volley ball players while experts believe that this field requires multi attribute decisions. Therefore, the aim of this study was to provide a scientific framework to rank volleyball players and to select top players to play their roles in different positions. Firstly, a list of criteria to select players in different positions was provided using literature review and meetings with experts of the field. Then, SWARA method and experts’ viewpoints were employed to prioritize and weigh the mentioned criteria. TODIM method was introduced to finally select top players from the existing options. To assure the accuracy of the research path, the designed framework was used to rank those players participating in 2015 World Cup in Japan and to form the world selected team. This study was application in terms of aims and descriptive – survey in terms of data collection.


  1. Ahmed, F., Deb, K., & Jindal, A. (2013). "Multi-objective      optimization and decision making approaches to cricket team selection". Applied Soft Computing, 13(1),      402-414.
  2. Baltos, G., & Mitsopoulou, Z. (2007). "Team formation under normal versus crisis      situations: leaders' assessments of task requirements and selection of      team members".      NAVAL POSTGRADUATE SCHOOL MONTEREY CA.
  3. Boon, B. H., & Sierksma, G. (2003). "Team formation: Matching quality supply and      quality demand".      European Journal of Operational Research, 148(2), 277-292.
  4. Bouyssou, D. (1986). "Some remarks on the notion of compensation in      MCDM". European      Journal of Operational Research, 26(1), 150-160.
  5. Bozóki, S., Csató, L., & Temesi, J. (2016). "An application of incomplete pairwise      comparison matrices for ranking top tennis players".      European Journal of Operational Research, 248(1), 211-218.
  6. Dadelo, S., Turskis, Z., Zavadskas, E. K., &      Dadeliene, R. (2014). "Multi-criteria      assessment and ranking system of sport team formation based on      objective-measured values of criteria set".      Expert Systems with Applications, 41(14), 6106-6113.
  7. Datta, A., Hossain, M., & Kaykobad, M. (2008). "An improved MST algorithm for ranking      players of a round-robin tournament".      International Journal of Computer Mathematics, 85(1), 1-7.
  8. Dehnavi, A., Aghdam, I. N., Pradhan, B., &      Varzandeh, M. H. M. (2015). "A      new hybrid model using step-wise weight assessment ratio analysis (SWARA)      technique and adaptive neuro-fuzzy inference system (ANFIS) for regional      landslide hazard assessment in Iran".      Catena, 135, 122-148.
  9. Gomes, L. F. A. M., Machado, M. A. S., & Rangel,      L. A. D. (2013). "Behavioral      multi-criteria decision analysis: the TODIM method with criteria      interactions".      Annals of Operations Research, 211(1), 531-548.
  10. Gomes, L. F. A. M., Machado, M. A. S., & Rangel,      L. A. D. (2014). "Multi-criteria      analysis of natural gas destination in Brazil: A comparison of TODIM      against the use of the Choquet integral".      Procedia Computer Science, 31, 351-358.
  11. Gomes, L. F. A. M., Machado, M. A. S., Santos, D.      J., & Caldeira, A. M. (2015). "Ranking      of Suppliers for a Steel Industry: A Comparison of the Original TODIM and      the Choquet-extended TODIM Methods".      Procedia Computer Science, 55, 706-714.
  12. Han, B., Xie, R., Li, L., Zhu, L., & Wang, S.      (2014). "A heuristic biomarker      selection approach based on professional tennis player ranking strategy". Computer methods and programs in      biomedicine, 113(1), 186-201.
  13. Hasan Aghdaie, M., Hashemkhani Zolfani, S., &      Zavadskas, E. K. (2013). "Decision      making in machine tool selection: An integrated approach with SWARA and      COPRAS-G methods".      Engineering Economics, 24(1), 5-17.
  14. Hashemkhani Zolfani, S., Farrokhzad, M., &      Turskis, Z. (2013). "Investigating      on succesful factors of online games based on explorer".
  15. Kahneman, D., & Tversky, A. (1979). "Prospect theory: An      analysis of decision under risk".      Econometrica: Journal of the Econometric Society, 263-291.
  16. Keršuliene, V., Zavadskas, E. K., & Turskis, Z.      (2010). "Selection of rational      dispute resolution method by applying new stepwise weight assessment ratio analysis (SWARA)". Journal of Business      Economics and Management, 11(2), 243-258.
  17. Keršulienė, V., & Turskis, Z. (2011). "Integrated fuzzy multiple criteria decision      making model for architect selection".      Technological and Economic Development of Economy, 17(4), 645-666.
  18. Lourenzutti, R., & Krohling, R. A. (2013). "A study of TODIM in a intuitionistic fuzzy      and random environment".      Expert Systems with Applications, 40(16), 6459-6468.
  19. Lourenzutti, R., & Krohling, R. A. (2014). "The Hellinger distance in multicriteria      decision making: an illustration to the TOPSIS and TODIM methods". Expert Systems with Applications,      41(9), 4414-4421.
  20. Ramón, N., Ruiz, J. L., & Sirvent, I. (2012). "Common      sets of weights as summaries of DEA profiles of weights: with an      application to the ranking of professional tennis players". Expert Systems with      Applications, 39(5), 4882-4889.
  21. Reid, M., & Morris, C. (2013).      "Ranking benchmarks of      top 100 players in men's      professional tennis". European      journal of sport science, 13(4), 350-355.
  22. Reid, M., Morgan, S., Churchill, T., & Bane, M.      K. (2014). "Rankings      in professional men’s tennis: a rich but underutilized source of      information".Journal      of sports sciences, 32(10), 986-992.
  23. Tavana, M., Azizi, F., Azizi, F., & Behzadian,      M. (2013). "A      fuzzy inference system with application to player selection and team      formation in multi-player sports". Sport      Management Review, 16(1), 97-110.
  24. Tseng, M. L., Lin, Y. H., Tan, K., Chen, R. H.,      & Chen, Y. H. (2014). "Using      TODIM to evaluate green supply chain practices under uncertainty". Applied Mathematical Modelling,      38(11), 2983-2995.
  25. Trninić, S., Papić, V., Trninić, V., &      Vukičević, D. (2008).      "Player selection      procedures in team sports games". Acta      Kinesiologica, 2(1), 24-28.
  26. Vafaeipour, M., Zolfani, S. H., Varzandeh, M. H. M.,      Derakhti, A., & Eshkalag, M. K. (2014). "Assessment      of regions priority for implementation of solar projects in Iran: New      application of a hybrid multi-criteria decision making approach". Energy Conversion and Management,      86, 653-663.
  27. Wang, J., & Zhang, J. (2015).      "A win–win team formation      problem based on the negotiation". Engineering      Applications of Artificial Intelligence, 44,      137-152.
  28. Zakarian, A., & Kusiak, A. (1999). "Forming teams: an analytical approach". IIE transactions, 31(1), 85-97.
  29. Zolfani, S. H., Aghdaie, M. H., Derakhti, A.,      Zavadskas, E. K., & Varzandeh, M. H. M. (2013). "Decision making on business issues with      foresight perspective; an application of new hybrid MCDM model in shopping      mall locating".      Expert systems with applications, 40(17), 7111-7121.
  30. Zolfani, S. H., Esfahani, M. H., Bitarafan, M., Zavadskas,      E. K., & Arefi, S. L. (2013). "Developing      a new hybrid MCDM method for selection of the optimal alternative of      mechanical longitudinal ventilation of tunnel pollutants during automobile      accidents".      Transport, 28(1), 89-96.
  31. Zolfani, S. H., & Saparauskas, J. (2013). "New application of SWARA method in      prioritizing sustainability assessment indicators of energy system". Engineering Economics, 24(5),      408-414.
  32. Zolfani, S. H., Zavadskas, E. K., & Turskis, Z.      (2013). "Design of products      with both International and Local perspectives based on Yin-Yang balance      theory and SWARA method".      Economic Research-Ekonomska Istraživanja, 26(2), 153-166.