Ways of increasing of the effectiveness of the making decisions by intelligent systems using fuzzy inference

Abstract

There are considered rule-based expert systems using fuzzy inference. Comparative analysis of different approaches and algorithms of making decisions on the base of fuzzy logic is given. Building of graph of the dependence of the rules and the graph of dependence of the linguistic variables are suggested. On the base of the developed groups of rules and defuzzification of the linguistic variables it is planned to increase the effectiveness of the decision making with using of parallel calculations for each group what is considered to be an actual problem for the large dimension knowledge bases.