Interval Type-2 fuzzy setsIn this paper a new interval Type-2 fuzzy neural network will be presented for function approximation. The proposed neural network is based on Locally Linear Model Tree (LOLIMOT) which is a fast learning algorithm for Locally Linear Neuro-Fuzzy Models (LLNFM). In ...
show that: 1) for a Mamdani singleton interval type-2 FLS all the ten operators can be implemented and optimized; and 2) for a Mamdani non-singleton interval type-2 FLS the multiplicative compensatory operator that uses the product t- norm and maximum t-conorm, , can be implemented and ...
type-1 fuzzy T-S model. Then the type-2 fuzzy T-S model is obtained from the type-1 model through unconstrained optimization where the Nelder-Mead Simplex method is utilized.Finally, the results of the experiment prove the efficiency of the proposed algorithm. ...
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 composed of three stages. In the first stage of the architecture, a Genetic Algorithm generates the rule base of the ...
This paper presents a novel interval type-2 TSK nominal-fuzzy-model-based sliding mode controller (IT2-TSK-NFMSMC) for flexible air-breathing hypersonic vehicle (FAHV) in order to stress robustness of the control system in dealing with data-driven based fuzzy modelling deviations, system uncertai...
OALib 期刊 快速投稿通道 我的图书馆 常见问题 关于我们 关注我们+ 全部 标题 作者 关键词 摘要 OALib Journal期刊 ISSN: 2333-9721 费用:99美元 投递稿件 查看量 下载量 100 5 相关文章 更多... Engineering Letters 2007 Interval Type-2 Fuzzy Logic Toolbox Juan R. Castro,Oscar Castillo,Luis G....
In this paper, an interval type-2 fuzzy logic system is designed and compared with a type-I fuzzy logic system. To compare performance of a type-I fuzzy logic system with the type-2 fuzzy logic system, we apply type-I fuzzy logic system and type-2 system to modeling the noised data....
The controller is designed by integration of the Interval Type-2 Fuzzy Logic Control (IT2FLC) and immune feedback control law. The type-2 fuzzy logic system is adopted to approximate the undetermined nonlinear function of the immune system. In order to reduce the computational loads of the ...
of intensity inhomogeneity in auroral oval images, we design a novel active contour model which employs interval type-2 fuzzy sets for auroral oval image segmentation. The proposed method can robustly segment auroral oval images even in the presence of high intensity variations. Experimental results ...
Type-1 and interval type-2 ANFIS: A comparison In a previous paper, we proposed an extended ANFIS architecture and showed that interval type-2 ANFIS produced larger errors than type-1 ANFIS on the well-... C Chao,R John,J Twycross,... - IEEE International Conference on Fuzzy Systems 被...