Title :
Refinement CTIN for general type-2 fuzzy logic systems
Author_Institution :
Dept. of Inf. Syst., Le Quy Don Tech. Univ., Hanoi, Vietnam
Abstract :
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.
Keywords :
fuzzy logic; fuzzy set theory; path planning; robots; CTIN; T2FLS; computational complexity; general type-2 fuzzy logic systems; general type-2 fuzzy set; refinement constraint TIN; robot navigation; triangulated irregular network; Approximation methods; Computational complexity; Engines; Fuzzy logic; Fuzzy sets; Inference algorithms; Tin; Geometric Representation; Type-2 Fuzzy Inference; Type-2 Fuzzy Logic Systems; Type-2 Fuzzy Sets;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007597
