On the Dempster-Shafer framework and new combination rules
Information Sciences: an International Journal
The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
Advances in the Dempster-Shafer theory of evidence
Advances in the Dempster-Shafer theory of evidence
Combining belief functions when evidence conflicts
Decision Support Systems
The consensus operator for combining beliefs
Artificial Intelligence
Non-additive measures by interval probability functions
Information Sciences—Informatics and Computer Science: An International Journal
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Analyzing the combination of conflicting belief functions
Information Fusion
Expert Systems with Applications: An International Journal
Constructing confidence belief functions from one expert
Expert Systems with Applications: An International Journal
Analyzing the degree of conflict among belief functions
Artificial Intelligence
Reasoning with imprecise belief structures
International Journal of Approximate Reasoning
Decision making in the TBM: the necessity of the pignistic transformation
International Journal of Approximate Reasoning
Combining ambiguous evidence with respect to ambiguous a priori knowledge. I. Boolean logic
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The modified Dempster-Shafer approach to classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the fusion of imprecise uncertainty measures using belief structures
Information Sciences: an International Journal
Joint cumulative distribution functions for Dempster---Shafer belief structures using copulas
Fuzzy Optimization and Decision Making
Hi-index | 12.05 |
To combine interval-valued belief structures (IBSs), it is necessary to investigate the applicability of Dempster's rule to know whether Dempster's rule is adequate to be used and whether other alternatives are needed. This makes it significant to investigate IBSs' pairwise relationships (IPRs) since they have an important impact on the applicability of Dempster's rule to the combination of two IBSs. IPRs can be constructed based on beliefs' pairwise relationships (BPRs), so this paper proposes a consistency measure to quantitatively divide BPRs into three categories. Using a consistency interval between two IBSs that is obtained by solving a pair of optimization problems constructed based on the consistency measure, IPRs are quantified and divided into six categories on the basis of BPRs. According to IPRs, the applicability of Dempster's rule to the combination of two IBSs is recommended. Finally, the applicability of Dempster's rule to the combination of multiple IBSs is investigated.