Intuitionistic Fuzzy Control Based on Association Rules

Autor:	Mirel Cosulschi, Ion Iancu, Mihai Gabroveanu
Rok vydání:	2013
Předmět:	Fuzzy classification Neuro-fuzzy Computer science computer.software_genre Type-2 fuzzy sets and systems Defuzzification Fuzzy logic ComputingMethodologies_PATTERNRECOGNITION Fuzzy set operations Fuzzy number Fuzzy associative matrix ComputingMethodologies_GENERAL Data mining computer
Zdroj:	Computational Collective Intelligence. Technologies and Applications ISBN: 9783642404948 ICCCI
DOI:	10.1007/978-3-642-40495-5_24
Popis:	The task of the standard Mamdani fuzzy logic controller is to find a crisp control action from the fuzzy rule-base and from a set of crisp inputs. In this paper we modify this controller in order to work with intuitionistic fuzzy sets and to activate a set of rules having the same conclusion. Usually, the inference rules used in a fuzzy logic controller are given by a domain expert; in our system, these rules are automatically induced as fuzzy association rules starting from a training set. The fuzzy confidence value associated with each rule is used to obtain the fuzzy set inferred by our system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c644b9397dde2341115d012291f11953 https://doi.org/10.1007/978-3-642-40495-5_24 Zobrazit plný text záznamu