Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Computación y Sistemas
On-line version ISSN 2007-9737Print version ISSN 1405-5546
Abstract
FERNANDEZ GONZALEZ, Eduardo and OLMEDO PEREZ, Rafael. A New Method for Exploiting Fuzzy Preference Relations in Decision Agents. Comp. y Sist. [online]. 2004, vol.8, n.1, pp.46-60. ISSN 2007-9737.
The normative approach for decision-making is the dominant paradigm in designing intelligent decision agents. We discuss here the advantages of a more flexible way based on fuzzy logic. However, most exploitation methods of fuzzy preference relations do not provide good prescriptions. Recently some approaches based on the idea of reducing inconsistencies using evolutionary multiobjective optimization have been proposed. In this work a new method is presented based on similar ideas but improving them. The multiobjective optimization problem is separated into two steps and solved with a better model of preferences, also using a simpler evolutionary algorithm. These improvements allow us to achieve better solutions in a simpler way than the previous methods.
Keywords : Decision agent; fuzzy preference relation; prescription; multiobjective optimization; evolutionary algorithm.