The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Group decision making procedure considering preference strength under incomplete information
Computers and Operations Research
Selection of web sites for online advertising using the AHP
Information and Management
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
Reasoning with imprecise belief structures
International Journal of Approximate Reasoning
Inductive learning models with missing values
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method
Expert Systems with Applications: An International Journal
A new approach to the rule-base evidential reasoning: Stock trading expert system application
Expert Systems with Applications: An International Journal
A new multi-perspective framework for multi-attribute decision making
Expert Systems with Applications: An International Journal
An interpretation of intuitionistic fuzzy sets in the framework of the dempster-shafer theory
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Combination rule of D-S evidence theory based on the strategy of cross merging between evidences
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
OPTIMIS: A holistic approach to cloud service provisioning
Future Generation Computer Systems
A Model for Decision Making with Missing, Imprecise, and Uncertain Evaluations of Multiple Criteria
International Journal of Intelligent Systems
Hi-index | 12.07 |
In this paper, a DS-AHP method is proposed for MADM problems with incomplete information. Different from most of current methods, the DS-AHP method solves a problem directly based on its incomplete decision matrix. On the base of Dempster-Shafer theory of evidence, our approach first identifies all possible focal elements from the incomplete decision matrix, and then it calculates the basic probability assignment of each focal element and the belief interval of each decision alternative. Preference relations among all decision alternatives are determined by comparing their belief intervals. A numerical example is studied to illustrate the detailed implementation process of the DS-AHP approach and demonstrate its potential applications in MADM problems with incomplete information.