Fuzzy set based multiattribute decision making, its computing implementation, and applications

This paper reflects results of research related to the analysis of models of multiattribute decision making in a fuzzy environment (within the so-called <X, R> models). These results can be used independently or within the framework of a general scheme of multicriteria decision making under conditions of uncertainty. The considered techniques for fuzzy preference modeling are directed at evaluating, comparing, choosing, prioritizing, and/or ordering alternatives. These techniques have served for developing a Multiattribute Decision Making System (MDMS2). It has been implemented in the C# programming language, utilizing the framework .NET. MDMS2 permits one to present preferences of decision makers in one of five preference formats. These formats as well as quantitative estimates are reduced to non-reciprocal fuzzy preference relations to provide homogeneous preference information for procedures of decision making. The paper results are of a general character and were used to analyzed problems of power engineering.