| Article ID: | iaor2003249 |
| Country: | India |
| Volume: | 39 |
| Issue: | 1 |
| Start Page Number: | 34 |
| End Page Number: | 45 |
| Publication Date: | Feb 2002 |
| Journal: | OPSEARCH |
| Authors: | Ekei Petr Ya, Terra Luiz D.B. |
| Keywords: | fuzzy sets |
Two classes of problems are considered within the framework of a general approach to solve optimisation problems with fuzzy coefficients, referred to as <X,M> and <X,R> models in the literature. This paper is concerned with the latter and proposes an approach which replaces the initial problem by a set of associated mutually interrelated models. To reduce the decision uncertainty region, the problem is converted to a multicriteria decision problem in a fuzzy environment using two methods. The first method reduces the region sequentially through a step-by-step comparison of alternatives. The second method analyses membership functions of a subset of non-dominated alternatives, considering all criteria simultaneously. The results have general applicability and are being used in power engineering planning in Brazil.