IPL Player Selection using Fuzzy Logic

Abstract

Many of us are familiar with the IPL auction format, in which clubs bid on players and the highest bidder takes home the player. These teams select their players using a variety of criteria, including their strike rate, their batting average, and so on. They then select the players they want to target and develop methods for them after going over all of the data and hours of footage to determine who they want to go after. We have come up with the idea of developing a system that makes use of fuzzy logic and provides teams with a list of the five best players for each position based on their needs. This would eliminate the need for teams to manually verify data and videos. This frees them up to concentrate on putting together the best team possible for themselves and strategizing the best way to spend their money on player acquisitions.