We propose reinforcement learning (RL) with Takagi-Sugeno-Kang (TSK) fuzzy systems and highlight the value of exploring the intersection of RL and fuzzy logic in producing explainable systems.
TSK fuzzy systemsdynamic rule weightsstacked structureoutlier detectionFuzzy rules are very important in Takagi-Sugeno-Kang (TSK) fuzzy systems as they not only provide a mapping mechanism for input patterns but also make fuzzy systems interpretable. Current works further introduce rule weights to ...
Keywords:Imagefusion;Supervisedlearning;TakagiSugenoKang(TSK)fuzzysystem 1 引言 图像融合【 1是通过一种特定算法将两幅或多幅 图像合成为一幅新图像的过程。近年来,在已有的 图像融合方法中又以神经网络图像融合领域的成果 较丰富,其可进一步分为脉冲耦合神经网络图像融 ...
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, Jiangsu 214122, China ...
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 ...
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:...
A rule base covering the entire input domain is required for the conventional Mamdani inference and Takagi–Sugeno–Kang (TSK) inference. Fuzzy i
This study introduces a Takagi-Sugeno (T-S) fuzzy modeling framework for kinematic modeling of mecanum wheeled mobile robot (MWMR). T-S fuzzy systems are p
当当中国进口图书旗舰店在线销售正版《【预订】Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering 9783642286315》。最新《【预订】Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering 9783642286315》简介、书评、试读、价格、图片等相关信息,尽
This paper introduces a Takagi-Sugeno (T-S) fuzzy regulator design using the negative absolute eigenvalue (NAE) approach for a class of nonlinear and unstable systems. The open-loop system is initially embodied by the traditional T-S fuzzy model and then