Expert System with Extended Knowledge Acquisition Module for Decision Making Support

This study is an attempt to develop an expert system containing an advanced knowledge acquisition module to support decision-making in socio-economic systems. In this article, we demonstrate the operation of the effective controls algorithm for generating the attributes of expert systems. The selection of factors for the creation of production rules is automated and is based on the discovery of knowledge from fuzzy cognitive map, which is a system representation of the problem being solved, using numerical methods of linear algebra. The synergy of three tools - fuzzy cognitive maps, numerical methods and fuzzy inference - is realized in the architecture of the expert system.

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