OWA Based Model for Talent Selection in Cricket

Talent selection in cricket is a task which is usually carried out by coaches and senior players. The method relies on instincts or natural abilities of the selectors for talent assessment and selection. However, it suffers with subjectivity, personal biasness and external influences. In country such as India where more than 1-million players play cricket daily, talent selection problem becomes significant. In this paper, we propose a model which can rank players in order of their talent. The model can potentially help reduce the implicit problems of manual talent selection system. The model assesses the cricketing talent of individual players based on the quantitative outcome of the identified parametric tests for assessing players’ physical/motor, anthropometric and cognitive skills and capabilities with respect to cricket. The Ordered weighted averaging aggregation (OWA) operator with Relative Fuzzy Linguistic Quantifier (RFLQ) is used to measure the weights and aggregate players’ talent values. The model is applied to the Jamia Millia Islamia’s (JMI) University Cricket team and results have been summarized.

[1]  R. Malina,et al.  A multidisciplinary selection model for youth soccer: the Ghent Youth Soccer Project , 2006, British Journal of Sports Medicine.

[2]  José M. Merigó,et al.  Induced aggregation operators in the Euclidean distance and its application in financial decision making , 2011, Expert Syst. Appl..

[3]  José M. Merigó,et al.  Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure , 2012, Expert Syst. Appl..

[4]  Sheng-Lin Chang,et al.  Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle , 2006 .

[5]  José M. Merigó,et al.  Fuzzy induced generalized aggregation operators and its application in multi-person decision making , 2011, Expert Syst. Appl..

[6]  J. Merigó,et al.  The uncertain probabilistic OWA distance operator and its application in group decision making , 2013 .

[7]  Jin Peng,et al.  Fuzzy Group Decision Making Model Based on Credibility Theory and Gray Relative Degree , 2009, Int. J. Inf. Technol. Decis. Mak..

[8]  José M. Merigó,et al.  Probabilities in the OWA operator , 2012, Expert Syst. Appl..

[9]  José M. Merigó,et al.  Uncertain generalized aggregation operators , 2012, Expert Syst. Appl..

[10]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[11]  José M. Merigó,et al.  Decision-making with distance measures and induced aggregation operators , 2011, Comput. Ind. Eng..

[12]  Yejun Xu,et al.  Group decision making with distance measures and probabilistic information , 2013, Knowl. Based Syst..

[13]  José M. Merigó,et al.  Fuzzy decision making with immediate probabilities , 2010, Comput. Ind. Eng..

[14]  José M. Merigó,et al.  Decision-making in sport management based on the OWA operator , 2011, Expert Syst. Appl..

[15]  José M. Merigó,et al.  Induced and uncertain heavy OWA operators , 2011, Comput. Ind. Eng..

[16]  Tiffany Mallillin,et al.  Sports Talent Identification in 1st and 2nd Year UST High School Students , 2007 .

[17]  T. Mulder,et al.  Relation between multidimensional performance characteristics and level of performance in talented youth field hockey players , 2004, Journal of sports sciences.

[18]  D T Pearson,et al.  Predictability of physiological testing and the role of maturation in talent identification for adolescent team sports. , 2006, Journal of science and medicine in sport.

[19]  José M. Merigó,et al.  New decision-making techniques and their application in the selection of financial products , 2010, Inf. Sci..

[20]  Enrique Herrera-Viedma,et al.  A Consensus Model for Group Decision Making Problems with Unbalanced Fuzzy Linguistic Information , 2009, Int. J. Inf. Technol. Decis. Mak..

[21]  Clifford J. Mallett,et al.  Coaching knowledge in identifying football talent , 2008 .

[22]  José M. Merigó,et al.  Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making , 2013, Inf. Sci..

[23]  Oleksandr Krasilshchikov,et al.  Talent Recognition and Development - Elaborating on a Principle Model , 2011 .

[24]  José M. Merigó,et al.  Uncertain induced aggregation operators and its application in tourism management , 2012, Expert Syst. Appl..