There are considered rule-based intelligent systems using fuzzy inference. Comparative analysis of different approaches and algorithms of making decisions on the base of fuzzy logic is given. Using of the parallel calculations can reduce the time of making decision in case of large-scale systems. Effectiveness of parallel calculations depends on the grouping of the rules and variables. Building of the 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 we suggest to reduce the time of making decision and therefore to increase the effectiveness of the decision making with using of parallel calculations for each group.Key words: Intelligent systems, fuzzy inference, increasing of the effectiveness of the making decisions, grouping of the rules and variables, building of the rules' dependence.

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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.Keywords: expert systems, fuzzy inference, increasing of the effectiveness of the making decisions, algorithms of the building of the rules' dependence.