Evidential reasoning rule for interval-valued belief structures combination

被引:9
|
作者
Zhang, Xing-Xian [1 ,3 ]
Wang, Ying-Ming [1 ,2 ]
Chen, Sheng-Qun [4 ]
Chu, Jun-Feng [1 ]
机构
[1] Fuzhou Univ, Decis Sci Inst, Fuzhou 350116, Fujian, Peoples R China
[2] Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou, Fujian, Peoples R China
[3] Tongling Univ, Sch Architecture & Engn, Tongling, Anhui, Peoples R China
[4] Fujian Jiangxia Univ, Sch Elect Informat Sci, Fuzhou, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Dempster-Shafer theory of evidence; interval evidence; ER approach; ER rule; combination; GROUP DECISION-MAKING; INFORMATION-SYSTEMS; KNOWLEDGE REDUCTION; DATABASES;
D O I
10.3233/JIFS-182529
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dempster-Shafer theory (DST) of evidence has wide application prospect in the fields of information aggregation and decision analysis. To solve the issues of interval evidence combination and normalization, we have reinvestigated the methods provided for interval evidence combination within the frameworks of DST and evidential reasoning (ER) approach, respectively, and pointed out the shortcomings of existing methods. A more general interval evidence combination approach based on the ER rule is constructed. Numerical examples are provided to indicate that the proposed method not only suitable to the conflict-free interval evidence combination, but also to the conflicting interval evidence combination, and interval evidence specificity can be kept intact in the interval evidence combination process. Moreover, the interval evidence combination methods based on DST or ER are special cases of the proposed method in some cases.
引用
收藏
页码:2231 / 2242
页数:12
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