Agent Based Fuzzy Clustering Algorithm

Autor: Abdeljabbar Cherkaoui, Hanane Barrah
Rok vydání: 2016
Předmět:
Zdroj: Lecture Notes in Electrical Engineering ISBN: 9783319302966
DOI: 10.1007/978-3-319-30298-0_71
Popis: Recently, the agents and multi-agent systems (MAS) field has known a significant breakthrough and covered a wide range of application domains. In order to keep up with this technological evolution, this paper concentrates on developing a MAS based on a fuzzy clustering algorithm, which is a widely useful clustering method in several fields, in the aim of making it easy to be extended and incorporated into other MASs. In the demonstration section, we show the effectiveness of our algorithm against the standard fuzzy c-means algorithm, and demonstrate theoretically how this system can reduce the running time of the applications based on it.
Databáze: OpenAIRE