WCSE

Algorithms for Increasing of the Effectiveness of the Making Decisions by Intelligent Fuzzy Systems

Abstract— 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 largescale systems. Effectiveness of parallel calculations depend 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.

Index Terms— intelligent systems, fuzzy inference, increasing of the effectiveness of the making decisions, grouping of the rules and variables, building of the rules’ dependence.

Olga Dolinina, Aleksandr Shvarts
Yury Gagarin State Technical University of Saratov, RUSSIA

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Cite: Olga Dolinina, Aleksandr Shvarts, "Algorithms for Increasing of the Effectiveness of the Making Decisions by Intelligent Fuzzy Systems," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 130-135, Moscow, Russia, April 15-17, 2015.