基于经典-模糊变精度概念格的决策规则获取及其推理算法  

Acquisitions to Decision Rules and Algorithms to Inferences Based on Crisp-fuzzy Variable Threshold Concept Lattices

作　　者：仇国芳[1] 朱朝晖 

机构地区：[1]西安建筑科技大学管理学院,陕西710055 [2]深圳卓成混凝土模块科学研究所,深圳518000

出　　处：《计算机科学》2009年第12期216-218,共3页Computer Science

基　　金：国家自然科学基金项目(No.60673096);陕西省教育厅科研专项基金(No.08JK089)资助

摘　　要：在模糊形式背景上引入了4种经典-模糊变精度概念,形成4种变精度概念格,在此基础上得到4种决策规则集。利用包含度构建不同决策规则集中的推理算法,进而得到所有对象组合的决策规则。证明了由决策规则得到的决策集分别是必然性与可能性决策集,且推理算法具有协调性和相容性。Four kinds of crisp-fuzzy variable threshold concepts are introduced in a fuzzy formal context and they form four kinds of variable threshold concept lattices respectively. And then four kinds of decision rule sets are obtained based on these lattices. Algorithms to inferences under different decision rule sets are established by an inclusion degree,and total decision rules of all combinations among objects are acquired. The decisions from the total decision rules are proved to be the lower approximated and the upper approximated decision sets, and the algorithms are accordant and consistent.

关 键 词：变精度概念格 决策规则 推理算法 包含度 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]