Player Selection for a National Football Team using Fuzzy AHP and Fuzzy TOPSIS

Ni̇Met Yapici Pehli̇Van*, Yener Ünal, Cengi̇Z Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Player selection is an important process which takes technical, personal and ability attributes of players into account. Determination of optimal team for Turkish A National Football Team is quite important for Turkey’s ranking in the world among the other teams. When the decision makers’ judgements are under uncertainty, it is relatively difficult for them to make a decision. The fuzzy set theory is a strong tool which can deal with the uncertainty in case of subjective, incomplete and vague information. Under this kind of uncertainty, it might be appropriate for decision makers to make an evaluation by linguistic terms. The aim of the paper is to select the best players for the team by taking several criteria into account. Fuzzy AHP, Fuzzy TOPSIS and Integrated FAHP/ FTOPSIS methods are comparatively applied to the selection process of players for forming an optimal squad of Turkish National Football Team.

Original languageEnglish
Pages (from-to)369-405
Number of pages37
JournalJournal of Multiple-Valued Logic and Soft Computing
Volume32
Issue number5-6
Publication statusPublished - 2019

Bibliographical note

Publisher Copyright:
©2019 Old City Publishing, Inc.

Keywords

  • fuzzy AHP
  • Fuzzy multi criteria decision making
  • fuzzy TOPSIS
  • player selection
  • turkish national football team

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