摘要
从贝叶斯理论出发,介绍基于三枝决策粗集理论。首先讨论在期望风险最小决策的语义下决策粗集理论基本模型的构建过程。其次,分析决策粗集三枝决策方法在不同概率区间犯错的可能性,并通过其与二枝决策及Paw-lak粗集三枝决策的差异,给出决策粗集三枝决策方法优于其他两种决策方法的成立条件。最后,提供一种利用决策粗集三枝决策解决实际问题的方法。
A model of three-way decision-theoretic rough sets(DTRS) was presented based on the Bayesian decision theory.Based on the minimum expected risk,a detailed formulation of DTRS was given.Different types of errors in se-veral probability intervals were examined.The conditions under which DTRS three-way method is superior to the Pawlak three-way method and two-way method were identified.DTRS three-way model was discussed for solving the practical decision problems.
出处
《计算机科学》
CSCD
北大核心
2011年第1期246-250,共5页
Computer Science
基金
国家自然科学基金(60873108
70971062)
西南交通大学博士创新基金(200907)
西南交通大学优秀博士论文培育基金(2009LD)资助
关键词
决策粗集理论
贝叶斯过程
三枝决策
二枝决策
Decision-theoretic rough set theory
Bayesian decision procedure
Three-way decision making
Two-way decision making