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  • 标题:AHP-Neural Network Based Player Price Estimation in IPL
  • 本地全文:下载
  • 作者:Pabitra Kr. Dey ; Abhijit Banerjee ; Dipendra Nath Ghosh
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2014
  • 卷号:7
  • 期号:3
  • 页码:15-24
  • DOI:10.14257/ijhit.2014.7.3.03
  • 出版社:SERSC
  • 摘要: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.
  • 关键词:Expert System; Fuzzy System; MCDM; AHP; ANN; Feature Selection; IPL
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