An Atanassov’s intuitionistic fuzzy reasoning model
| Autor: | Mihai Gabroveanu, Ion Iancu, Mirel Cosulschi |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Statistics and Probability
Fuzzy classification Neuro-fuzzy business.industry General Engineering Type-2 fuzzy sets and systems Defuzzification Fuzzy logic ComputingMethodologies_PATTERNRECOGNITION Artificial Intelligence Fuzzy number Fuzzy set operations Fuzzy associative matrix ComputingMethodologies_GENERAL Artificial intelligence business Mathematics |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. 30:117-128 |
| ISSN: | 1875-8967 1064-1246 |
| DOI: | 10.3233/ifs-151738 |
| 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 Atanassov's 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 |
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