Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

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METHODS OF FUZZY SET ANALYSIS AND MODELING OF SOCIAL GRAPHS

Tselykh A.N. 1 Kotov E.M. 1
1 Southern Federal University
This paper is a state-of-the art review of the formal methods of decision-making processes in social systems. We consider the concept of a fuzzy semantic network represented by a fuzzy directed social graph. This model is applied when it is necessary to define a membership of a current situation to this or that class of situations, or to find the nearest situation from the set of situations available in a database. We suggest a model to search for optimal decisions using fuzzy semantic network based on the definition of membership degree of a current situation to this or that class of reference situations on the basis of degree of fuzzy similarity. Under the fuzzy similarity we assume the relation of fuzzy inclusion in possession of transitivity property. The value of relevance score (degree of fuzzy similarity) is computed based on the method of minimal value.