IPL Team Performance Analysis: A Multi-Criteria Group Decision Approach in Fuzzy Environment

Abstract

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.

Comparative Analysis of TOPSIS and TODIM for the Performance Evaluation of Foreign Players in Indian Premier League

“…us, several studies on various MCDM methods to analyse IPL team performance analysis have been conducted. Multicriteria group decision method studied in [18] gives a practical way to evaluate a team's success while producing consistent performance ratings. Multicriteria decision tree approach [19] can classify all-rounders in the Indian Premier League for accurately and efficiently classifying data based on the output of players.…”

Analysing factors impacting Bangladesh men's T20 cricket performance

“…Approach in a Fuzzy Environment," authored by Dey et al (2015), data were gathered from the primary dataset available through open sources, covering the six-year period from 2008 to 2013 within the Indian Premier League (IPL). The objective of this report was to assess team performances over the initial six IPL seasons, with a focus on the domain of sports data mining.…”