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 cal...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.展开更多
Group decision making problem with stochastic preference is investigated. The authors present four rational conditions for testing group stochastic preference rule, and prove that the com- bination of these four ratio...Group decision making problem with stochastic preference is investigated. The authors present four rational conditions for testing group stochastic preference rule, and prove that the com- bination of these four rational conditions is the sufficient and necessary condition of major stochastic preference rule for group stochastic preference rule.展开更多
文摘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.
基金supported by the research project of City College of Wenzhou University under Grant No.kyzd200901Innovation Research Projects for Graduate student of Zhejiang Province under Grant No. YK2010093Scientific Research Projects of Education Department of Zhejiang Province under Grant No. 20070534
文摘Group decision making problem with stochastic preference is investigated. The authors present four rational conditions for testing group stochastic preference rule, and prove that the com- bination of these four rational conditions is the sufficient and necessary condition of major stochastic preference rule for group stochastic preference rule.