会议专题

Game-Theoretic Risk Analysis in Decision-Theoretic Rough Sets

Determining the correct threshold values for probabilistic rough set models has been a heated issue among the community.This article will formulate a game-theoretic approach to calculating these thresholds to ensure correct approximation region size.By finding equilibrium within payoff tables created from approximation measures and modified conditional risk strategies,we provide the user with tolerance levels for their loss functions.Using the tolerance values,new thresholds are calculated to provide correct classification regions.Better informed decisions can be made when utilizing these tolerance values.

Joseph P.Herbert JingTao Yao

Department of Computer Science,University of Regina Regina,Saskatchewan,Canada S4S 0A2

国际会议

The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

成都

英文

132-139

2008-05-17(万方平台首次上网日期,不代表论文的发表时间)