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논문검색

Multi-Criteria Decision Tree Approach to Classify All-Rounder in Indian Premier League

초록

영어

In this fast entertainment era Twenty-20 cricket becomes one of the most popular entertaining sports in all aged persons. Multi-criteria analysis plays a vital role to measure the performance of cricketers and Decision tree technique helps us to classify in very efficient manner. This paper makes use of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to produce the overall performance of the all-rounder of Indian Premier League (IPL) T-20 session-III cricket tournament. The results of TOPSIS method are further used to classify all-rounder in four different categories by using Decision tree. Finally, this paper proposed a multi-criteria decision tree approach which provides accurate & efficient data classification upon the players’ performance.

목차

Abstract
 1. Introduction
 2. Multi-Criteria Analysis using TOPSIS
 3. Decision Tree
 4. Experiment & Result
 5. Conclusion
 References

저자정보

  • Pabitra Kumar Dey Assistant Professor, Department of Computer Application, Dr.B.C.Roy Engineering College, India
  • Dipendra Nath Ghosh Associate Professor, Department of Computer Science& Engineering Dr.B.C.Roy Engineering College, India
  • Abhoy Chand Mondal Associate Professor, Department of Computer Science, University of Burdwan, India

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