Identification of the football teams assessment model using the COMET method

Abstract Many people, organizations and managers try to assess the performance of the football teams and seek new improved approaches. Rankings are an unavoidable part of the football world, where high competitiveness and efficiency is a natural factor. One of the techniques to deal with such problems is the use of multi-criteria decision-analysis methods (MCDA), offering an effective approach to not only ranking but also assessing, selecting and sorting given alternatives. In this paper, the Characteristic Objects METhod (COMET) is used in order to create a performance ranking of the top-tier football clubs. The assessment model is identified and compared with the existing benchmark ranking by the Spearman’s rank correlation coefficient.

[1]  Constantin Zopounidis,et al.  Multicriteria classification and sorting methods: A literature review , 2002, Eur. J. Oper. Res..

[2]  Marc Roubens,et al.  Fuzzy sets and decision analysis , 1997, Fuzzy Sets Syst..

[3]  Reza Kiani Mavi,et al.  Ranking football teams with AHP and TOPSIS methods , 2012 .

[4]  Jarosław Wątróbski,et al.  Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks , 2018, PloS one.

[5]  M. Gupta,et al.  Theory of T -norms and fuzzy inference methods , 1991 .

[6]  Etienne E. Kerre,et al.  On the relationship between some extensions of fuzzy set theory , 2003, Fuzzy Sets Syst..

[7]  Reza Baradaran Kazemzadeh,et al.  PROMETHEE: A comprehensive literature review on methodologies and applications , 2010, Eur. J. Oper. Res..

[8]  Rick L. Wilson.  Ranking College Football Teams: A Neural Network Approach , 1995 .

[9]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[10]  David Mease,et al.  A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams Independent of Victory Margins , 2003 .

[11]  F. A. Lootsma,et al.  Multicriteria decision analysis with fuzzy pairwise comparisons , 1989 .

[12]  Peter J. W. N. Bird,et al.  The demand for league football , 1982 .

[13]  Andrzej Piegat,et al.  Comparative analysis of MCDM methods for the assessment of mortality in patients with acute coronary syndrome , 2016, Artificial Intelligence Review.

[14]  Sajjad Zahir,et al.  A Comprehensive Literature Review of the Rank Reversal Phenomenon in the Analytic Hierarchy Process , 2013 .

[15]  James P. Keener,et al.  The Perron-Frobenius Theorem and the Ranking of Football Teams , 1993, SIAM Rev..

[16]  Artur Karczmarczyk,et al.  Generalised framework for multi-criteria method selection , 2018, Omega.

[17]  Shahzad Faizi,et al.  Decision Making with Uncertainty Using Hesitant Fuzzy Sets , 2017, International Journal of Fuzzy Systems.

[18]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[19]  Morteza Yazdani,et al.  A state-of the-art survey of TOPSIS applications , 2012, Expert Syst. Appl..

[20]  W. Sałabun.  Reduction in the Number of Comparisons Required to Create Matrix of Expert Judgment in the Comet Method , 2014 .

[21]  B. Dawson,et al.  Development and validation of a player impact ranking system in Australian football , 2008 .

[22]  Sandjai Bhulai,et al.  The predictive power of ranking systems in association football , 2013, Int. J. Appl. Pattern Recognit..

[23]  Adel Guitouni,et al.  Tentative guidelines to help choosing an appropriate MCDA method , 1998, Eur. J. Oper. Res..

[24]  Ying Luo,et al.  On rank reversal in decision analysis , 2009, Math. Comput. Model..

[25]  Juho Hamari,et al.  A gradual approach for maximising user conversion without compromising experience with high visual intensity website elements , 2019, Internet Res..

[26]  Shahzad Faizi,et al.  Group Decision-Making for Hesitant Fuzzy Sets Based on Characteristic Objects Method , 2017, Symmetry.

[27]  Artur Karczmarczyk,et al.  Using the COMET Method in the Sustainable City Transport Problem: an Empirical Study of the Electric Powered Cars , 2018, KES.

[28]  Wojciech Sałabun,et al.  The Characteristic Objects Method: A New Distance‐based Approach to Multicriteria Decision‐making Problems , 2015 .

[29]  Wojciech Sałabun,et al.  Nonlinearity of human multi-criteria in decision-making , 2012 .