An Evolutionary Algorithm Determining a Defuzzyfication Functional
نویسندگان
چکیده
(Received 27 December 2006; revised manuscript received 25 January 2007) Abstract: Order fuzzy numbers are defined that make it possible to deal with fuzzy inputs quantitatively, exactly in the same way as with real numbers, together with four algebraic operations. An approximation formula is given for a defuzzyfication functional that plays the main role when dealing with fuzzy controllers and fuzzy inference systems. A dedicated evolutionary algorithm is presented in order to determine the form of a functional when a training set is given. The form of a genotype composed of three types of chromosomes and the fitness function are given and Genetic operators are proposed.
منابع مشابه
On evolutionary approach for determining defuzzyfication operator
Ordered fuzzy numbers that make possible to deal with fuzzy inputs quantitatively, exactly in the same way as with real numbers, are defined together with four algebraic operations. For defuzzyfication operators that play the main role when dealing with fuzzy controllers and fuzzy inference systems an approximation formula is given. In order to determine it when a training set is given a dedica...
متن کاملDetermining Cluster-Heads in Mobile Ad-Hoc Networks Using Multi-Objective Evolutionary based Algorithm
A mobile ad-hoc network (MANET), a set of wirelessly connected sensor nodes, is a dynamic system that executes hop-by-hop routing independently with no external help of any infrastructure. Proper selection of cluster heads can increase the life time of the Ad-hoc network by decreasing the energy consumption. Although different methods have been successfully proposed by researchers to tackle...
متن کاملDetermining Cluster-Heads in Mobile Ad-Hoc Networks Using Multi-Objective Evolutionary based Algorithm
A mobile ad-hoc network (MANET), a set of wirelessly connected sensor nodes, is a dynamic system that executes hop-by-hop routing independently with no external help of any infrastructure. Proper selection of cluster heads can increase the life time of the Ad-hoc network by decreasing the energy consumption. Although different methods have been successfully proposed by researchers to tackle...
متن کاملA Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms
In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...
متن کاملMulti-objective optimization design of plate-fin heat sinks using an Evolutionary Algorithm Based On Decomposition
This article has no abstract.
متن کامل