Iterative ordering using fuzzy logic and application to ranking college football teams

Tsai-Pei Wang*, James M. Keller

*此作品的通信作者

研究成果: Paper同行評審

摘要

Ranking of sports teams has been the interest of many people. Ranking of college sports teams (in the US) has its special challenge in that most teams do not play each other, and there is no lack of argument regarding how to compare two teams which have not played each other. We present here an algorithm that utilizes fuzzy sets to represent the teams' strengths, hence incorporating the uncertainty that is intrinsic in such a problem. The membership values of these fuzzy sets are adjusted iteratively according to the opponents and results of games played. After the process converges, we generate the final ranking using the centroids of these fuzzy sets. In addition, we present another set of fuzzy rules for predicting, with some degree of confidence, the winning/losing of games not included in the "training set," which consist of games used to generate the team strengths. We also discuss the selection of parameters for making the confidence of predictions mimic the actual percentage of correct predictions.

原文English
頁面729-733
頁數5
DOIs
出版狀態Published - 6月 2004
事件NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies - Banff, Alta, Canada
持續時間: 27 6月 200430 6月 2004

Conference

ConferenceNAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies
國家/地區Canada
城市Banff, Alta
期間27/06/0430/06/04

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