Two views of belief: belief as generalized probability and belief as evidence
Artificial Intelligence
Artificial Intelligence
Computers and Operations Research
A new ranking procedure by incomplete pairwise comparisons using preference subsets
Intelligent Data Analysis
A new fuzzy dempster MCDM method and its application in supplier selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Distances in evidence theory: Comprehensive survey and generalizations
International Journal of Approximate Reasoning
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An octree-based method for shape from inconsistent silhouettes
Pattern Recognition
Set Measure Directed Multi-Source Information Fusion
IEEE Transactions on Fuzzy Systems
Knowledge-Based Systems
Short Communication: A new optimal consensus method with minimum cost in fuzzy group decision
Knowledge-Based Systems
Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework
IEEE Transactions on Knowledge and Data Engineering
A Model for Decision Making with Missing, Imprecise, and Uncertain Evaluations of Multiple Criteria
International Journal of Intelligent Systems
Bi-level programming based real-time path planning for unmanned aerial vehicles
Knowledge-Based Systems
FUZZY SENSOR FUSION BASED ON EVIDENCE THEORY AND ITS APPLICATION
Applied Artificial Intelligence
Supplier selection using AHP methodology extended by D numbers
Expert Systems with Applications: An International Journal
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Decision-making is an essential but difficult problem under uncertain environment. Many researchers have addressed it in the framework of the AHP. The AHP has many advantages. However, the incomplete information resulted from the limited precision of human assessments reduces its effectiveness in many applications. In this paper, a new method is proposed for decision-making by incomplete information based on evidence distance with using of DS theory to extend the AHP. The main feature of the proposed method is the weight of criteria are assigned with the consistency and similarity of the opinions from experts or decision makers. The operation of preferences is defined in the framework of DS theory. The final decision is obtained with pignistic probability transformation. Numerical examples are used to illustrate the reasonability of the proposed method.