First, TSK-FS is selected as the basic model. As one of the most famous fuzzy systems, TSK-FS has the advantage of nice interpretability and thus meets the requirement of clinic trials and applications. Second, MV-TSK-FS uses a multi-view framework to collaboratively handle the collective ...
Genetic Programming for Model Selection of TSK-Fuzzy Systems The crisp linear conclusion part of a Takagi-Sugeno-Kang (TSK) fuzzy rule describes the underlying model in the local region specified in the premise. ... F Hoffmann,O Nelles - Elsevier Science Inc. 被引量: 106发表: 2001年 Stock...
The Takagi-Sugeno systems (for short, to be denoted TS) are one of the most common fuzzy models. In such systems consequents are functions of inputs. This chapter shows a modification of such models as members of an classifier ensemble. The problem of incapability of merging several rule ...
This paper studies the admissibility of Takagi–Sugeno (T-S) fuzzy descriptor systems with time-varying delay. To analyze the admissibility, various free-matrix-based inequalities (FMIs) are used in the existing works, since they directly produce bounds for integral terms without time-varying delay...
To overcome this problem, a strategy is presented in this paper to construct a Takagi-Sugeno-Kang (TSK) FLS based on transductive transfer learning for identifying epileptic EEG signals. Two novel objective functions, achieved by integrating the transductive transfer learning mechanism, are proposed ...
Takagi--Sugeno--Kang Fuzzy Classifiers for a Special Class of Time-Varying Systems 来自 国家科技图书文献中心 喜欢 0 阅读量: 27 作者:R Mikut,O Burmeister,Lutz Groll,M Reischl 摘要: This paper proposes new design strategies for Takagi-Sugeno-Kang classifiers to solve a special class of time-...
T–S fuzzy model Using the rule base structure as shown in Fig. 1, the Takagi–Sugeno (T–S) fuzzy model considered is described by the following fuzzy IF–THEN rules:Rulei:IFx1isAi1and⋯andxNIisAiNI,THENyi=ai0+ai1x1+⋯+aiNIxNI,where i = 1, …, NR, NR is the number of IF...
关键词：TSK模糊模型；集成学习；AdaBoost；不平衡数据；SMOTE 文献标志码：A中图分类号：TP181 Ensemble Model of Takagi-Sugeno-Kang Fuzzy Classifiers for Imbalanced Data ZHANG Zhuang+,WANG Shitong School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi,Jiangsu214122,China Abstract:...
Design of Takagi-Sugeno-Kang fuzzy controller-based inverter for solar PV systems. • Accomplished a single-stage power conversion from solar to electric load/grid. • The proposed controller supports the MPPT and also reactive power supply. ...
Most of neuro-fuzzy structures described in the world literature utilizes the Mamdani type inference or the Takagi-Sugeno schema. As mentioned in Chapter 4, the Mamdani type inference consists in connecting the antecedents and the consequents of rules using a t-norm (most often the t-norm of ...