A method for managing evidential reasoning in a hierarchical hypothesis space
Artificial Intelligence
On the Dempster-Shafer framework and new combination rules
Information Sciences: an International Journal
Implementing Dempster's rule for hierarchial evidence
Artificial Intelligence
Structural analysis of audit evidence using belief functions
Fuzzy Sets and Systems - Special issue: Soft decision analysis
A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps
IEEE Transactions on Mobile Computing
A new combination of evidence based on compromise
Fuzzy Sets and Systems
Evaluating Sensor Reliability in Classification Problems Based on Evidence Theory
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Some strategies for explanations in evidential reasoning
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Belief rule-base inference methodology using the evidential reasoning Approach-RIMER
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Measuring ambiguity in the evidence theory
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Evidence theory based knowledge representation
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Hi-index | 0.00 |
The purpose of this paper is to employ Dempster-Shafer theory in problems which are defined in hierarchical and logical structures such as a fault tree. One of main differences of the Dempster-Shafer theory from Bayesian one is that the Dempster-Shafer method enables us to take the lack of knowledge or information into consideration in its analyses. A focal set of hypotheses must be mutual exclusive and exhaustive in the Dempster-Shafer theory. In this paper, we define state patterns in order to satisfy the mutual exclusiveness and exhaustiveness. The method using state patterns requires us much computational time due to the huge number of combinatorials to solve the evidential reasoning. In order to resolve this issue, this paper provides the improved method based on logical relations in the hierarchical structure.