计算机科学 ›› 2011, Vol. 38 ›› Issue (1): 246-250.
• 人工智能 • 上一篇 下一篇
刘盾,姚一豫,李天瑞
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基金资助:
LIU Dun,YAO Yi-yu,LI Tian-rui
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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Pawlak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。
关键词: 决策粗集理论，贝叶斯过程，三枝决策，二枝决策
Abstract: A model of threcway 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 several probability intervals were examined. The conditions under which DTRS thruway method is superior to the Pawlak three-way method and two-way method were identified. DTRS threcway model was discussed for solving the practical decision problems.
Key words: Decision-theoretic rough set theory, Bayesian decision procedure, Three-way decision making, Two-way decision making
刘盾,姚一豫,李天瑞. 三枝决策粗糙集[J]. 计算机科学, 2011, 38(1): 246-250. https://doi.org/
LIU Dun,YAO Yi-yu,LI Tian-rui. Three-way Decision-theoretic Rough Sets[J]. Computer Science, 2011, 38(1): 246-250. https://doi.org/
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