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» Interval Type-2 Fuzzy Logic Toolbox
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EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
EAAI
2006
161views more  EAAI 2006»
13 years 4 months ago
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
Dongrui Wu, Woei Wan Tan
FUZZIEEE
2007
IEEE
13 years 8 months ago
A Vector Similarity Measure for Interval Type-2 Fuzzy Sets
Fuzzy logic is frequently used in computing with words (CWW). When input words to a CWW engine are modeled by interval type-2 fuzzy sets (IT2 FSs), the CWW engine's output can...
Dongrui Wu, Jerry M. Mendel
SGAI
2009
Springer
13 years 11 months ago
An Interval Type-2 Fuzzy Multiple Echelon Supply Chain Model
Planning resources for a supply chain is a major factor determining its success or failure. In this paper we build on previous work introducing an Interval Type-2 Fuzzy Logic mode...
Simon Miller, Robert John
FCSC
2011
413views VLSI» more  FCSC 2011»
12 years 8 months ago
Type-2 fuzzy description logic
Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and ...
Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li, Xiaolin...