IPL Team Performance Analysis: A Multi-Criteria Group Decision Approach in Fuzzy Environment
Автор: Pabitra Kumar Dey, Dipendra Nath Ghosh, Abhoy Chand Mondal
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 8 Vol. 7, 2015 года.
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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.
Gaussian Fuzzy-AHP, Group Decision, Spearman Correlation coefficient, Kendall Correlation coefficient, Performance Appraisal Introduction
Короткий адрес: https://sciup.org/15012352
IDR: 15012352
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