This paper reflects results of research related
to the analysis of models of multi-attribute decisionmaking in a fuzzy domain (within the so-called
models). These results can be used independently or
within the framework of a general project of multicriteria
decision making beneath 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 system for multi-attribute
decision making 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 are illustrated by an example related to the
problem of choosing an alternative of an energy source to
be installed in an isolated system demonstrates the paper
results
Keywords :
fuzzy preference modeling; preference formats; non-reciprocal fuzzy preference relations; models; energy sources.