分离模糊集合(A^(F),A^(F))与模糊信息智能融合  

Separated fuzzy set(A^(F),A^(F))and the intelligent fusion of fuzzy information

作　　者：史开泉[1] 李守伟 SHI Kai-quan;LI Shou-wei(School of Mathematics,Shandong University,Jinan250100,Shandong,China;School of Business,Shandong Normal University,Jinan250014,Shandong,China)

机构地区：[1]山东大学数学学院,山东济南250100 [2]山东师范大学商学院,山东济南250014

出　　处：《山东大学学报（理学版）》2022年第7期1-13,共13页Journal of Shandong University(Natural Science)

基　　金：国家自然科学基金资助项目(71663010);山东省自然科学基金资助项目(ZR2019MG015)。

摘　　要：利用内-分离论域、外-分离论域与分离论域,改进了L.A.Zadeh模糊集合,提出了由内-分离模糊集合与外-分离模糊集合共同组成的分离模糊集合。利用分离模糊集合,给出了模糊信息融合的生成及其属性关系;给出了模糊信息融合中的信息筛以及信息筛分准则,进而提出了模糊信息外-融合-智能检索算法;利用这些理论结果,给出了模糊信息外-融合在疾病分类智能检索中的应用。By using internal-separated universe,outer-separated universe and separated universe,L.A.Zadeh fuzzy set is improved,and a separated fuzzy set composed of internal-separated fuzzy set and outer-separated fuzzy set is proposed.Based on the separated fuzzy set,the generation of fuzzy information fusion and its attribute relationship are given.The information screening and its criteria in fuzzy information fusion are given,and then the outer-fusion intelligent retrieval algorithm of fuzzy information is proposed.By using these theoretical results,the application of fuzzy information outer-fusion in intelligent retrieval of disease classification is given.

关 键 词：分离论域 属性合取 分离模糊集合 模糊信息融合 智能检索 应用 

分 类 号：O144[理学—数学]