ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.021
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
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.