Type-1FuzzySystem IntervalType-2FuzzySystem GeneralizedType-2FuzzySystem FuzzyController Mobilerobot Control abstract TheaimofthispaperistoshowthataGeneralizedType-2FuzzyControlSystemcanoutperformType-1 andInte
The main contribution of this work is the design of the optimized interval type-2 fuzzy system with triangular membership functions. The final type-2 system has a better classification rate of 99.408% than the type-1 classifier developed previously in 鈥淒esign of an optimized fuzzy classifier ...
As high tracking accuracy and high tracking speed are both vital for LTS operation, a design of a high performance controller is critical. This paper shows that an interval type 2 fuzzy logic controller (IT2FLC) can outperform a type 1 fuzzy logic controller (T1FLC) in such applications. ...
In a type-2 fuzzy logic system, one of the important operations is to calculate the centroid of an interval type-2 fuzzy set (IT2 FS). In this paper, two novel algorithms called binary algorithms are proposed to calculate the centroid of IT2 FSs. Then, the outputs of the proposed binar...
John, and A. M. Alimi, "Interval type-2 fuzzy logic control of mobile robots," Journal of Intelligent Learning Systems and Applications, vol. Vol. 4 No. 4, pp. pp. 291-302, 2012.N. Baklouti1, R. John and A. Alimi," Interval Type-2 Fuzzy Logic Control of Mobile Robots", ...
Hassani, H., & Zarei, J. "Interval Type-2 fuzzy logic controller design for the speed control of DC motors". Systems Science & Control Engineering, 2015, 3(1), 266- 273.H. Hassani and J. Zarei" Interval Type-2 fuzzy logic controller design for the speed control of DC motors"...
The proposed method performs type-1, interval type-2 and general type-2 f... P Melin,D Sánchez - 《Granular Computing》 被引量: 0发表: 2019年 Hierarchical interval type-2 fuzzy path planning based on genetic optimization This paper focuses on the path planning of mobile robot. Fuzzy ...
OWA operators in the framework of Mamdani interval type- 2 fuzzy logic systems (FLS) so that for the first time the un- certainties originating from descriptive words, connector words and data can be simultaneously modeled. Our investigations show that: 1) for a Mamdani singleton interval type...
This paper aims at investigating the advantages of using an interval type-2 fuzzy system for classification problems. An evolutionary architecture was proposed to generate the rule base and to optimize the membership functions of a type-2 Fuzzy Classification System The proposed architecture is ...
Then the response integration of the modular neural network was tested with the optimized fuzzy systems of integration. The comparative study of the type-1 and type-2 fuzzy inference systems was made to observe the behavior of the two different integration methods for modular neural networks for ...