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author:

Zhang, X.-X. (Zhang, X.-X..) [1] | Wang, Y.-M. (Wang, Y.-M..) [2] | Chen, S.-Q. (Chen, S.-Q..) [3] | Chu, J.-F. (Chu, J.-F..) [4]

Indexed by:

Scopus

Abstract:

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. © 2019 - IOS Press and the authors. All rights reserved.

Keyword:

combination; Dempster-Shafer theory of evidence; ER approach; ER rule; interval evidence

Community:

  • [ 1 ] [Zhang, X.-X.]Decision Sciences Institute, Fuzhou University, Fuzhou, Fujian, 350016, China
  • [ 2 ] [Zhang, X.-X.]School of Architecture and Engineering, Tongling University, Tongling, Anhui, China
  • [ 3 ] [Wang, Y.-M.]Decision Sciences Institute, Fuzhou University, Fuzhou, Fujian, 350016, China
  • [ 4 ] [Wang, Y.-M.]Key Laboratory of Spatial Data Mining Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian, China
  • [ 5 ] [Chen, S.-Q.]School of Electronic Information Science, Fujian Jiangxia University, Fuzhou, Fujian, China
  • [ 6 ] [Chu, J.-F.]Decision Sciences Institute, Fuzhou University, Fuzhou, Fujian, 350016, China

Reprint 's Address:

  • [Wang, Y.-M.]Decision Sciences Institute, Fuzhou UniversityChina

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Source :

Journal of Intelligent and Fuzzy Systems

ISSN: 1064-1246

Year: 2019

Issue: 2

Volume: 37

Page: 2231-2242

1 . 8 5 1

JCR@2019

1 . 7 0 0

JCR@2023

ESI HC Threshold:162

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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