Analysis of Spaces of Similarity Generated by a Fact Base in JSM Problems

Abstract

In this paper, we investigate spaces of similarity generated by fact bases of intelligent JSM systems and present a classification for the set of potential hypotheses. Conditions on similarity spaces are imposed to reduce the number of classes in this classification. The results obtained in this work make it possible to estimate the set of hypotheses (including minimal ones) found by inductive reasoning and can be used to solve the problems of opinion analysis and formation of a social structure.