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A systematic approach for ranking football players within an integrated DEA‐OWA framework
Author(s) -
Oukil Amar,
Govindaluri Srikrishna Madhumohan
Publication year - 2017
Publication title -
managerial and decision economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 51
eISSN - 1099-1468
pISSN - 0143-6570
DOI - 10.1002/mde.2851
Subject(s) - football , ranking (information retrieval) , decision maker , league , robustness (evolution) , data envelopment analysis , operations research , computer science , marketing , business , engineering , mathematics , artificial intelligence , statistics , political science , biochemistry , chemistry , physics , astronomy , law , gene
The ranking of players has always been an important input for key decisions in the football industry. This paper introduces a systematic methodology for ranking football players through objective performance factors within a framework that integrates data envelopment analysis and ordered weighted averaging operators. Players from European Premier League Football clubs are selected and ranked under a decision setting that involves the players' desirable and undesirable performance factors alongside the attitude of the decision maker. The robustness of the proposed methodology is evaluated using different levels of optimism of the decision maker.