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Article title METHODS OF FUZZY LOGIC AND LINGUISTIC APPROACH TO SWOT ANALYSIS
Authors L.A. Tselykh
Section SECTION III. ARTIFICIAL INTELLECT AND INDISTINCT SYSTEMS
Month, Year 07, 2012 @en
Index UDC 510.22
DOI
Abstract This research develops and applies a method of fuzzy logic that contributes to the convenience and ease of use of SWOT analysis. The departing point is a separability of strategic alternatives on the compatibility of SWOT factors. This approach is illustrated by the model in which a number of social-psychological and economic variables are the factors affecting the adoption by the customer (the applicant) of the decision on the choice of University. The purpose of the method is to improve the quantitative information grounds of strategic planning processes. Methodology of fuzzy sets for SWOT analysis results in analytically defined priorities for the factors included in the analysis and makes them comparable.

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Keywords SWOT analysis; fuzzy conditions; threshold of the division; compatibility of SWOT factors; graph of fuzzy mapping.
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