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模糊粗糙集的表示定理
引用本文:杜卫锋,孙士保.模糊粗糙集的表示定理[J].西南交通大学学报,2005,40(1):118-121.
作者姓名:杜卫锋  孙士保
作者单位:1. 西南交通大学理学院,四川,成都,610031
2. 河南科技大学电子信息工程学院,河南,洛阳,471003
基金项目:国家自然科学基金资助项目(60074014)
摘    要:通过对偶方式定义了模糊集的上、下近似算子,给出了模糊粗糙集在相应的模糊关系及模糊集的截集下的表示定理,证明了这种模糊粗糙集关于模糊近似空间的上近似恰为其在二元模糊相似关系下导出的广义扩张原理之下的像。证明了Zadeh模糊推理合成规则(CRI)与特定的广义扩张原理具有相同的形式。推理结果也可由此获得,这样可借助广义扩张原理的性质及粗糙集理论研究模糊推理.

关 键 词:粗糙集  模糊粗糙集  表示定理  广义扩张原理
文章编号:0258-2724(2005)01-0118-04

On the Representation Theorems of Fuzzy Rough Sets
DU Wei-feng,SUN Shi-bao.On the Representation Theorems of Fuzzy Rough Sets[J].Journal of Southwest Jiaotong University,2005,40(1):118-121.
Authors:DU Wei-feng  SUN Shi-bao
Institution:DU Wei-feng~1,SUN Shi-bao~2
Abstract:The upper and lower approximation operators of rough set were defined by dual form. The representation theorems for this kind of fuzzy rough sets were presented using cut set of relative fuzzy relation and fuzzy sets. It is proved that the upper approximation of such fuzzy rough set in a fuzzy approximation space is just its image derived according to generalized extension principle and binary fuzzy similar relation. It is also proved that ZadehK's fuzzy Compositional Rule of Inference (CRI) has the same form with the specific generalized extension principle, and the inference result can be obtained through it. Thus, fuzzy inference can be studied with the help of the properties of generalized extension principle and rough set theory.
Keywords:rough sets  fuzzy rough sets  representation theorems  generalized extension principle
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