Refinement CTIN for general type-2 fuzzy logic systems

Triangulated irregular network (TIN) has been used for representing general type-2 fuzzy sets and gained some results of reducing computational complexity. In general, TIN-based algorithms are still complex and difficulty to deploy in applications. So, an approach based on refinement constraint TIN...

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Bibliographic Details
Published in2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) pp. 1225 - 1232
Main Author Long Thanh Ngo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Approximation methods
Computational complexity
Engines
Fuzzy logic
Fuzzy sets
Geometric Representation
Inference algorithms
Tin
Type-2 Fuzzy Inference
Type-2 Fuzzy Logic Systems
Type-2 Fuzzy Sets
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ISBN9781424473151
1424473152
ISSN1098-7584
DOI10.1109/FUZZY.2011.6007597

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Summary:Triangulated irregular network (TIN) has been used for representing general type-2 fuzzy sets and gained some results of reducing computational complexity. In general, TIN-based algorithms are still complex and difficulty to deploy in applications. So, an approach based on refinement constraint TIN (CTIN) for representing general type-2 fuzzy set is proposed. The paper deals with the use CTIN in general type-2 fuzzy logic systems (GT2FLS). Operations are developed for general type-2 fuzzy sets. A T2FLS is designed and implemented in comparing previous approaches under an application of robot navigation.
ISBN:9781424473151
1424473152
ISSN:1098-7584
DOI:10.1109/FUZZY.2011.6007597