Title :
Type-2 fuzzy functional SIRMs connected inference model
Author_Institution :
Dept. Math. Sci., Kwansei Gakuin Univ., Sanda, Japan
Abstract :
This paper proposes a type-2 fuzzy functional SIRMs connected inference model (type-2 FF-SIRMs model) which extends fuzzy sets of the antecedent parts of the SIRMs model to type-2 fuzzy sets. It next discusses some properties of the type-2 FF-SIRMs model. We show that the inference results of type-2 FF-SIRMs model can be easily obtained from the area and center of gravity in consequent parts even where general type-2 fuzzy sets are used to the antecedent parts. Moreover, we state monotonicity of type-2 FF-SIRMs model, and show its applicability.
Keywords :
fuzzy set theory; inference mechanisms; connected inference model; type-2 FF-SIRMs model; type-2 fuzzy functional SIRM; type-2 fuzzy sets; SIRMs connected fuzzy inference model; Type-2 fuzzy inference model; fuzzy functions; monotonicity; type-2 fuzzy sets;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
DOI :
10.1109/SCIS-ISIS.2012.6505387