Fuzzy Solution for Multiple Targets Optimization Based on Fuzzy Max-Min Neural Network

Autor:	Pengfei Peng, Xuezhi Fu, Jun Xing
Rok vydání:	2009
Předmět:	Adaptive neuro fuzzy inference system Mathematical optimization Nonlinear system Fuzzy classification Artificial neural network Neuro-fuzzy Computer science Fuzzy set Fuzzy set operations Fuzzy associative matrix Fuzzy logic Membership function
Zdroj:	Advances in Soft Computing ISBN: 9783642012150 ISNN (4)
DOI:	10.1007/978-3-642-01216-7_70
Popis:	After summarizing general solution of multiple targets optimization and studying the elementary principle of fuzzy solution for multiple targets optimization, the method of fuzzy solution for multiple targets optimization based on fuzzy min-max (FMM) neural network was proposed in this paper. Some simulation analysis results indicated that multiple targets optimization algorithm based on FMM neural network was simple, which had strong nonlinear mapping capability and could preferably express fuzzy membership function. So, it was solved that membership function was hard to be defined with reason when solution for multiple targets optimization was put forward.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e9a634a400b219d5cd29125c6cd922f0 https://doi.org/10.1007/978-3-642-01216-7_70 Zobrazit plný text záznamu