Earticle

초록

영어

The present study aims to design a methodical model based on Analytical hierarchy Process (AHP) and Artificial Neural Network (ANN) for estimation of player price in IPL. Based on expert view several key features are chosen for cricket player price calculation in IPL twenty-20 cricket tournament. Initial weights of attributes are calculated through AHP. Dataset is prepared using Open Source Information from the internet and offline experts. Back propagation neural network trains a pre normalized performance dataset of last three years IPL statistical dataset of 226 players. Finally, our proposed methodology gives a systematic way to select the important attributes and calculate the weights based on expert opinion to measure the optimal price for a player which will help the IPL team owner to select the player according their budget and strategies. A strict tradeoff between ‘budget conscious bidding’ and ‘performance based bidding’ is thus optimized using this model.

목차

Abstract
 1. Introduction
 2. Literature Survey
 3. Features Contribution & Quantification of Linguistic Variables for Player Price Estimation
  3.1. Features Contribution to Player Price Estimation
  3.2. Quantify of some Non-numeric Attributes
 4. Proposed Methodology & Discussion
  4.1. AHP Model
  4.2. ANN Topography
 5. Conclusion
 References

키워드

저자

• Pabitra Kr. Dey [ Assistant Professor, Department of Computer Application, Dr.B.C.Roy Engineering College, India ]
• Abhijit Banerjee [ Assistant Professor, Department of Electronics & Communication Engineering, 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605