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
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)