考虑到经典粗糙集模型中等价关系过于严格的缺陷和直觉Fuzzy集在处理不确定信息时所具有的表达力,建立了覆盖粗糙直觉Fuzzy集模型,并给出了该模型下的一些性质;接着引入了覆盖粗糙直觉Fuzzy集模型的粗糙度和粗糙熵的概念,讨论其不确定性度量;最后给出了算例。
Considering the defect of equivalence relation which is too stringent in Pawlak's rough set models and the advantage of intuitionistic fuzzy sets in dealing with the uncertain information,the covering rough-intuitonistic fuzzy set models is built.In additions,the concept of roughness and rough entropy of the covering rough intuitonistic fuzzy set model are introduced to describe the uncertainty.Finally,an example is given.