基于描述逻辑的模糊软集参数转换算法

摘要

通过应用模糊描述逻辑FALC (fuzzy attribute language and complement)表示问题领域和模糊软集参数知识,丰富模糊软集参数的语义；利用描述逻辑的推理能力,通过设计模糊软集转化算法,将原始模糊软集转化为符合查询决策参数语义的模糊软集,提高了模糊软集决策支持能力.%The semantics of parameters of fuzzy soft set was enhanced by a knowledge base which is about related problem domain and fuzzy soft set's parameters. This knowledge base can be constructed by applying fuzzy attribute language and complement ( FALC). The reasoning ability of FALC was used in this algorithm to transform theoriginal fuzzy soft set into a fuzzy soft set with user decision parameters. The case study has demonstrated that thedecision making performance of fuzzy soft set is improved.