IPL Team Performance Analysis: A MultiCriteria Group Decision Approach in Fuzzy Environment

Full Text (PDF, 350KB), PP.8-15

Views: 0 Downloads: 0

Author(s)

Pabitra Kumar Dey 1,* Dipendra Nath Ghosh 2 Abhoy Chand Mondal 3

1. Department of Computer Application, Dr. B. C. Roy Engineering College, Durgapur-06, India

2. Department of Computer Science & Engineering, Dr. B. C. Roy Engineering College, Durgapur-06, India

3. Department of Computer Science, University of Burdwan, Burdwan, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2015.08.02

Received: 7 Oct. 2014 / Revised: 13 Feb. 2015 / Accepted: 15 Apr. 2015 / Published: 8 Jul. 2015

Index Terms

Gaussian Fuzzy-AHP, Group Decision, Spearman Correlation coefficient, Kendall Correlation coefficient, Performance Appraisal Introduction

Abstract

Now a day Cricket is one of the most popular sports around the world. Twenty-20 cricket is the most popular entertaining game in last eight to ten years among different formats of cricket. Indian Premier League (IPL) plays vital role to upturn the status of Twenty-20 cricket. This paper aims to analysis the team performances during first six sessions of IPL in the field of sports Data Mining. The proposed work deals with five different multi-criteria techniques and two group decision analysis in fuzzy environment to handle the imprecise and ambiguous data. The result shows that proposed model yields more realistic way to judge the team’s performance and every time it produces the accurate performance appraisal.

Cite This Paper

Pabitra Kumar Dey, Dipendra Nath Ghosh, Abhoy Chand Mondal, "IPL Team Performance Analysis: A Multi-Criteria Group Decision Approach in Fuzzy Environment", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.8, pp.8-15, 2015. DOI:10.5815/ijitcs.2015.08.02

Reference

[1]Devi, K., Yadav, S.P. and Kumar, S., Extension of fuzzy TOPSIS method based on vague sets, International Journal of Cmputaional Cognition, Vol. 7(4), pp:58-62, 2009.

[2]Carlsson, C., and Fuller, R., (1996). Fuzzy multiple criteria decision making: Recent development 139-153.

[3]Muralidharan C., (2000), Application of Analytic Hierarchy Process (AHP) in materials and human resource management under group decision making environment, Unpublished Ph.D. Thesis, Annamalai University.

[4]Saaty, T. L.,The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.

[5]Saaty, T. L., "Priority Setting in Complex Problems," IEEE Transactions on Engineering Management, Vol.30, No.3, pp.140-155, 1983.

[6]Hwang, C.L., Yoon, K., “Multiple Attribute DecisionMaking Methods and Applications”, Springer, BerlinHeidelberg, 1981.

[7]Kaklauskas, A.,. Zavadskas, E.K., Multicriteria Evaluation of Building. Vilnius: Technika. (1996).

[8]Opricovic, S., Multicriteria Optimization of Civil Engineering Systems, Faculty of CivilEngineering, Belgrade (1998).

[9]Brans, J.P. and Vincke, P., "A preference ranking organisation method: The PROMETHEE method for MCDM". Management Science. (1985).

[10]Dey, P.K., Ghosh, D.N. and Mondal, A.C., “Modified Group Decision Algorithm for Performance Appraisal of Indian Premier League Cricketers”, in WSEAS Transactions on Information Science and Applications (WSEAS- ToISA), E-ISSN: 2224-3402, Vol. 10, Issue 10, October-2013, pp: 325-333.

[11]Blog: http://premierleaguecricket.in

[12]http://en.wikipedia.org/wiki/Indian_Premier_League

[13]Staden, P.J. van, “Comparison of Bowlers, Batsmen and All-rounders in Cricket using Graphical Displays”, Technical Report of University of Pretoria, 08 01, ISBN: 978 1 86854 733 3.

[14]Parker, D., Burns, P. and Natarajan, H., “Player Valuations in the IndianPremier League”, Frontier EconomicsOctober 2008.

[15]Lemmer, H.H., “The Combined Bowling Rate as a Measure of Bowling Performance in Cricket”, South African Journal for Research in Sport, Physical Education and Recreation, Vol. 24, No. 2, pp.37-44, 2002.

[16]Lemmer, H.H., “A Measure for the Batting Performance of Cricket Players”, South African Journal for Research in Sport, Physical Education and Recreation, Vol. 26, No. 1, pp.55-64, 2004.

[17]Lemmer, H.H., “The Allocation of Weights in the Calculation of Batting and Bowling Performance Measures”, South African Journal for Research in Sport, Physical Education and Recreation, Vol. 29, No. 2, pp.75-85, 2007.

[18]Chang D. Extent analysis and synthetic decision. Optimization techniques and applications, vol. 1. Singapore: World Scientiļ¬c;1992, p. 352.

[19]Hefny, H.A., Elsayed, H.M., Aly, H.F., “Fuzzy multi-criteria decision making model for different scenarios of electrical power generation in Egypt”, Egyptian Informatics Journal (2013) Vol. 14, pp.125–133, 2013.

[20]IPL, http://iplt20.com/.

[21]Spearman, C. (1904). "The proof and measurement of association between two things". Amer. J. Psychol. 15: 72–101. doi:10.2307/1412159.

[22]Kendall, M.G., Rank correlation methods (4th ed.). London: Griffin. ISBN 978-0-852-6419-96. OCLC 136868. (1970).