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EN
When dealing with multi-criteria decision making problems, the concept of Pareto-optimality and Pareto-dominance may be inefficient (e.g. generally multiple solutions exist), especially when there is a large number of criteria. Our paper considers the fuzzy multi-criteria decision making problem based on Zadeh’s linguistic approach to P-optimality and P-dominance. The construction, analysis and application of a model of multi-criteria decision making using a fuzzy preference relation are considered. The paper is dedicated to the problem of modeling preferences in terms of fuzzy binary relations and provides an introduction to the important problem of forming fuzzy preference relations to analyze models of multi-attribute decision making. The key features of the multi-criteria evaluation, comparison, choice and ordering of alternatives in a fuzzy environment using fuzzy preference relations have been introduced.
EN
The article presents the assessment of companies efficiency, the idea based on the fuzzy set theory and fuzzy logic. Relevant financial measures are selected by experts and auditors. Variables of the proposed fuzzy model are expressed as linguistic variables and their correlations are defined by If-Then fuzzy rules of conclusion. The theoretical modeling is then followed by numerical examples. There is further extension of model toward assessment and comparison for enterprises of different size and various business branches.
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