Combination for Conflicting Interval-Valued Belief Structures with CSUI-DST Method  

作　　者：LI Shuangming GUAN Xin YI Xiao SUN Guidong 

机构地区：[1]Naval Aviation University,Yantai 264001,China [2]Unit 92941 of PLA,Huludao 125001,China [3]Unit 32801 of PLA,Beijing 100082,China

出　　处：《Chinese Journal of Electronics》2022年第5期980-990,共11页电子学报（英文版）

基　　金：supported by the Youth Foundation of National Science Foundation of China (62001503);the Excellent Youth Scholar of the National Defense Science and Technology Foundation of China (2017-JCJQ-ZQ-003);the Special Fund for Taishan Scholar Project (ts201712072)

摘　　要：Since the basic probability of an intervalvalued belief structure(IBS)is assigned as interval number,its combination becomes difficult.Especially,when dealing with highly conflicting IBSs,most of the existing combination methods may cause counter-intuitive results,which can bring extra heavy computational burden due to nonlinear optimization model,and lose the good property of associativity and commutativity in Dempster-Shafer theory(DST).To address these problems,a novel conflicting IBSs combination method named CSUI(conflict,similarity,uncertainty,intuitionistic fuzzy sets)-DST method is proposed by introducing a similarity measurement to measure the degree of conflict among IBSs,and an uncertainty measurement to measure the degree of discord,non-specificity and fuzziness of IBSs.Considering these two measures at the same time,the weight of each IBS is determined according to the modified reliability degree.From the perspective of intuitionistic fuzzy sets,we propose the weighted average IBSs combination rule by the addition and number multiplication operators.The effectiveness and rationality of this combination method are validated with two numerical examples and its application in target recognition.

关 键 词：Conflicting IBSs Similarity and uncertainty measure Addition and number multiplication operators WEIGHT 

分 类 号：O29[理学—应用数学]