Artificial Intelligence
On the evidence inference theory
Information Sciences: an International Journal
Dependability certification of software components
Journal of Systems and Software - Special issue on Evaluation and assessment in software engineering
Modeling vague beliefs using fuzzy-valued belief structures
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Software Quality Control
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
Non-additive measures by interval probability functions
Information Sciences—Informatics and Computer Science: An International Journal
ACM SIGSOFT Software Engineering Notes
Toward Trustworthy Software Systems
Computer
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Analyzing the combination of conflicting belief functions
Information Fusion
IEEE Transactions on Software Engineering
The Dempster--Shafer calculus for statisticians
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Constructing confidence belief functions from one expert
Expert Systems with Applications: An International Journal
Extending stochastic ordering to belief functions on the real line
Information Sciences: an International Journal
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
Comparing approximate reasoning and probabilistic reasoning using the Dempster--Shafer framework
International Journal of Approximate Reasoning
Combination of partially non-distinct beliefs: The cautious-adaptive rule
International Journal of Approximate Reasoning
The canonical decomposition of a weighted belief
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Reasoning with imprecise belief structures
International Journal of Approximate Reasoning
Hierarchical and conditional combination of belief functions induced by visual tracking
International Journal of Approximate Reasoning
Representing uncertainty on set-valued variables using belief functions
Artificial Intelligence
Switching-based filter based on Dempster's combination rule for image processing
Information Sciences: an International Journal
A betting interpretation for probabilities and Dempster--Shafer degrees of belief
International Journal of Approximate Reasoning
A belief function classifier based on information provided by noisy and dependent features
International Journal of Approximate Reasoning
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Hi-index | 0.00 |
To combine belief functions from reliable dependent sources, Denoeux proposed an operator called the cautious conjunctive rule. In this paper, the conjunctive combination of interval-valued belief structures (IBSs) from reliable dependent sources is investigated. Nonlinear optimization problems based on the cautious rule are constructed and solved to generate an unnormalized and a normalized cautious combination of two IBSs. In a similar manner, optimization problems used to combine multiple IBSs are also constructed. Furthermore, to deal with some situations in which the relative weights of IBSs must be considered, optimization problems considering relative weights are constructed to implement the unnormalized and normalized weighted cautious combination of IBSs. To verify the validity and usefulness of the conjunctive combination of IBSs, a trustworthiness evaluation problem of hospital information systems, which is employed in many hospitals of the Anhui province in China, is solved based on the normalized weighted cautious combination of IBSs.