Methods of critical value reduction for type-2 fuzzy variables and their applications

A type-2 fuzzy variable is a map from a fuzzy possibility space to the real number space; it is an appropriate tool for describing type-2 fuzziness. This paper first presents three kinds of critical values (CVs) for a regular fuzzy variable (RFV), and proposes three novel methods of reduction for a...

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Veröffentlicht in:	Journal of computational and applied mathematics Jg. 235; H. 5; S. 1454 - 1481
Hauptverfasser:	Qin, Rui, Liu, Yan-Kui, Liu, Zhi-Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier B.V 2011 Elsevier
Schlagworte:	Calculus of variations and optimal control Critical value Data envelopment analysis Exact sciences and technology Fuzzy Fuzzy logic Fuzzy possibility theory Fuzzy set theory Mathematical analysis Mathematical models Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Parametric programming Programming Reduction Reduction methods Sciences and techniques of general use Type-2 fuzzy variable Critical value Reduction methods Type-2 fuzzy variable Fuzzy possibility theory Parametric programming Data envelopment analysis Data analysis Optimization method Linear programming Linear model Reduction method Numerical analysis Applied mathematics Variational calculus Mathematical programming
ISSN:	0377-0427, 1879-1778
Online-Zugang:	Volltext
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