模糊信息系统的一种规则提取方法
On a Knowledge Discovery Method of Fuzzy Information System
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摘要: 该文定义了一种相似度量算子对对象间关于属性的接近程度,并基于此提出了代表一类模糊相似关系的模糊不可区分关系R:αB ,即关于对象的模糊不可区分关系。以此模糊相似关系为基础,在广义近似空间(U , R B)中定义了上、下近似算子;并引入阈值α,β,即允许一定程度的错误分类率存在,讨论了属性间的相互依赖关系,且给出应用实例。Abstract: Firstly ,in allusion to fuzzy information system ,a similarity measure operator is defined to de-scribe adjacence degree of objects on attributes .Fuzzy indiscernibility relation induced by the similarity measure operator takes place of a series of a kind of more generalized fuzzy similarity relations .Based on the fuzzy indiscernibility relation ,upper and lower approximation operators have been defined in the gener-alized approximation space (U ,R:αB ) and some proposition has been discussed .At last ,based on fuzzy in-discernibility relation ,dependence relation each other between attributes has been discussed ,too .Some applied effective examples are given .
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