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

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外文摘要：Since the basic probability of an interval-valued belief structure(IBS)is assigned as interval num-ber,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 con-flicting IBSs combination method named CSUI(conflict,similarity,uncertainty,intuitionistic fuzzy sets)-DST method is proposed by introducing a similarity measure-ment to measure the degree of conflict among IBSs,and an uncertainty measurement to measure the degree of dis-cord,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 de-gree.From the perspective of intuitionistic fuzzy sets,we propose the weighted average IBSs combination rule by the addition and number multiplication operators.The ef-fectiveness and rationality of this combination method are validated with two numerical examples and its applica-tion in target recognition.

外文关键词：

Conflicting IBSsSimilarity and un-certainty measureAddition and number multiplication operatorsWeight

作者：

LI Shuangming、GUAN Xin、YI Xiao、SUN Guidong

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作者单位：

Naval Aviation University,Yantai 264001,China

Unit 92941 of PLA,Huludao 125001,China

Unit 32801 of PLA,Beijing 100082,China

基金：

Youth Foundation of National Science Foundation of ChinaExcellent Youth Scholar of the National Defense Science and Technology Foundation of ChinaSpecial Fund for Taishan Scholar Project

项目编号：

620015032017-JCJQ-ZQ-003ts201712072

出版年：

2022

DOI：

10.1049/cje.2021.00.214

电子学报(英文)

CSTPCDSCIEI

ISSN：1022-4653

年,卷(期)：2022.31(5)

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