Compromise ratio method for fuzzy multi-attribute group decision making
Applied Soft Computing
A fuzzy clustering methodology for linguistic opinions in group decision making
Applied Soft Computing
Fuzzy multicriteria decision making—an overview
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A method for group decision making with multi-granularity linguistic assessment information
Information Sciences: an International Journal
UML 2.0 and agents: how to build agent-based systems with the new UML standard
Engineering Applications of Artificial Intelligence
Towards a distributed fuzzy decision making system
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hi-index | 12.05 |
Decision making is a complex process, particularly when it is carried out by multidisciplinary team. Methods based on the analytical hierarchy process have been widely employed because they provide solid mathematical background. Nevertheless, solutions such as the Aggregation of Individual Judgements (AIJ) and the Aggregation of Individual Priorities (AIP) do not offer sufficient explanatory data in regards with the final decision. We developed an agent-based decision support system (DSS) that employs fuzzy clustering to group individual evaluations and the AHP to reach a final decision. Fuzzy clustering is adequate to determine important pieces of data such as the largest group of evaluations that exist around a centroid value. On the other hand, the MAS paradigm offers capabilities for achieving distributed and asynchronous processing of data. The AHP is used after the individual evaluations are clustered, as if the group were a single evaluator. Altogether, the proposed solution enhances the quality of multi-criteria group decision making.