求翻译:Type-2 fuzzy是什么意思?待解决 悬赏分:1 - 离问题结束还有 Type-2 fuzzy问题补充:匿名 2013-05-23 12:21:38 2型模糊 匿名 2013-05-23 12:23:18 类型2模糊 匿名 2013-05-23 12:24:58 第二类型模糊 匿名 2013-05-23 12:26:38 类型2 模糊 匿名 2013-05-23 12:28:18 2...
Type reduction capturesmore information about rule uncertain- ties than does the defuzzified value (a crisp number), however, it is computationally intensive, except for interval type-2 fuzzy sets for which we provide a simple type-reduction computation procedure. We also apply a type-2 FLS...
登录 免费注册 Type-2 Fuzzy Broad Learning System 作者:Han, Honggui*; Liu, Zheng; Liu, Hongxu; Qiao, Junfei; Chen, C. L. Philip 来源:IEEE Transactions on Cybernetics, 2022, 52(10): 10352-10363. DOI:10.1109/TCYB.2021.3070578 Neurons ...
可調式吸振器本研究以區間第二型模糊理論作為基礎,探討Interval Type-2模糊控制。本文實驗以三明治電流變液樑做一可調式吸振器,電流變液(electrorheological fluid,ERF)是一種智慧型材料,由不導電流體與介電懸浮微粒組成,在極板間施加電場後微粒會產生鏈結現象,使三明治電流變液樑之剛性與阻尼產生改變,利用電流變液...
You can create a type-2 fuzzy inference system by converting an existing type-1 system, such as one created using thegenfisfunction. To do so, use theconvertToType2function. Once you create a type-2 fuzzy inference system, you can: ...
This paper presents a new extension of Gaussian mixture models (GMMs) based on type-2 fuzzy sets (T2 FSs) referred to as T2 FGMMs. The estimated parameters of the GMM may not accurately reflect the underlying distributions of the observations because of insufficient and noisy data in real-wor...
The integration of fuzzy systems, Wavelet theory, and neural networks has recently become a popular approach in the engineering fields for control of nonlinear systems. Therefore, the application of Fuzzy Wavelet Neural Network controllers is clearly obvious to investigators. A lot of research has bee...
Type-2 fuzzy logic refers to a fuzzy logic system that has gained popularity in various applications, especially in pattern recognition and classification problems within the field of Computer Science. AI generated definition based on: Expert Systems with Applications, 2013 ...
The basic theory of a type-2 Fuzzy Logic Systems (FLSs) is presented, an efficient and simplified method to convert a type-2 fuzzy to a crisp result in a type-2 FLS is proposed, which is a straightforward way for the liberation of computation complexity, and the example shows that it ...
type-2 FLS it may take less time to train an interval type-2 FLS to achieve a satisfactory performance, and the resulting system is more robust to noise. I. INTRODUCTION The knowledge used to construct a fuzzy logic system (FLS) is often uncertain. The uncertainties may arise from the fol...