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在模糊信息系统中,通常用模糊相容关系代替等价关系.在已有模糊相容关系的基础上,通过利用有序加权平均(OWA)算子聚合所有对象之间在属性集中每个属性下的差异性,从而得出了对象间在整个属性集下的一个区分度,进一步地根据区分度定义了对象的相似度,给出了一种基于对象相似度的模糊相容关系.然后,对能影响该模糊相容关系的主要两个因素:阈值和模糊量词参数进行了具体分析.最后,通过实例结果说明在模糊信息系统中,这种改进的基于对象相似度的模糊相容关系能更灵活合理的处理问题.
In the fuzzy information system, fuzzy equivalence relation is usually used instead of equivalence relation.On the basis of the existing fuzzy compatibility relationship, every attribute in the attribute set is aggregated by using the Ordered Weighted Average (OWA) operator And then draws a distinction between the objects under the whole attribute set and further defines the similarity of the objects according to the degree of discrimination and gives a fuzzy compatible relationship based on the similarity of the objects.Secondly, The main two factors that can affect the fuzzy compatibility are the threshold value and the fuzzy quantifier parameters.Finally, the results show that the improved ambiguity relationship based on object similarity in fuzzy information system More flexible and reasonable handling of the problem.