Title :
Intelligent Gravitational Search Algorithm for optimum design of fuzzy classifier
Author :
Askari, Hossein ; Zahiri, Seyed-Hamid
Author_Institution :
Dept. of Electr. Eng., Birjand Univ., Birjand, Iran
Abstract :
In this paper, membership function shapes and types and the fuzzy rules of fuzzy systems are adjusted by using a Intelligent Gravitational Search Algorithm (IGSA) in order to obtain an optimal fuzzy system. The advantages of this method in classifying various data sets are illustrated. Possible extensions of this technique are briefly discussed.
Keywords :
fuzzy set theory; pattern classification; search problems; IGSA; fuzzy rules; intelligent gravitational search algorithm; membership function shapes; optimal fuzzy system; optimum fuzzy classifier design; Algorithm design and analysis; Classification algorithms; Fuzzy logic; Fuzzy systems; Genetic algorithms; Particle swarm optimization; Search problems; Gravitational search algorithm; classifier; fuzzy system;
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2012 2nd International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4673-4475-3
DOI :
10.1109/ICCKE.2012.6395360
