نتایج جستجو برای: interval type 2 fuzzy logic systems
تعداد نتایج: 4649030 فیلتر نتایج به سال:
One of the main issues in fuzzy clustering is to determine the number of clusters that should be available before clustering and selection of different values for the number of clusters will lead to different results. Then, different clusters obtained from different number of clusters should be validated with an index. But so far such an index has not been introduced for interval type-2 fuzzy C...
In this paper, an interval Type-2 fuzzy logic based pitch angle controller is proposed for fixed speed wind energy system (WES) to maintain the aerodynamic power at its rated value. The pitch angle reference is generated by the proposed controller which can compensate the non-linear characteristics of the pitch angle to the wind speed. The presence of third dimension in the Type-2 fuzzy logic c...
A type-2 fuzzy set (or fuzzy-fuzzy set) is a fuzzy set that has fuzzy membership degrees. Such a set is useful wherein it is difficult to determine the exact membership degrees. A type-2 fuzzy system is robust against uncertainties that occur in fuzzy rules and system parameters. In this paper, first, The history of type-2 fuzzy theory which is developed during 25 recently years briefly is revi...
Interval Type-2 Fuzzy Logic Controller (IT2FLC) where the fuzzy parameters, e.g. Fuzzy Membership Functions and Fuzzy Rule Bases are tuned by Genetic Algorithm (GAs) known as Genetic Interval Type-2 Fuzzy System (GIT2FS). The GFS are discussed briefly, later, the proposed design is explained. Key wordsGA, Interval Type-2 Fuzzy Logic Controller (IT2FLC), Genetic Interval Type2 Fuzzy System (GIT2...
A fuzzy logic controller with interval-valued inference mechanism is presented for the control of distributed parameter system (DPS). Interval-valued fuzzy set, a special case of type-2 fuzzy set, is innovatively designed to cope with the spatial information of distributed parameter systems. The proposed fuzzy logic controller is composed of six modules: fuzzifier, fuzzy composition, rules, inf...
This paper presents hardware architecture for an Interval Type-2 fuzzy processor. The architecture is based on the use of two Type-1 Fuzzy Logic Systems (T1 FLS) and it suggests that the existing techniques for implementing T1 FLS can be employed for realizing Type-2 Fuzzy Logic Systems (T2 FLS). The paper also presents a survey of the various realizations for T1 FLS and summarizes them giving ...
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