Multiple-Criteria Fuzzy Evaluation: The FuzzME Software Package

This paper introduces a new software product FuzzME. It was developed as a tool for creating fuzzy models of multiple-criteria evaluation and decision making. The type of evaluations employed in the fuzzy models fully corresponds with the paradigm of the fuzzy set theory; the evaluations express the (fuzzy) degrees of fulfillment of corresponding goals. The FuzzME software takes advantage of linguistic fuzzy modeling to the maximum extent. In the FuzzME software, both quantitative and qualitative criteria can be used. The basic structure of evaluation is described by a goals tree. Within the goals tree, aggregation of partial fuzzy evaluations is done either by one of fuzzified aggregation operators (fuzzy weighted average, ordered fuzzy weighted average) or by a fuzzy expert system. The paper contains an illustrative example of the software usage. The application concerns a soft-fact-rating problem that was solved in one of Austrian banks.