This paper presents a novel recurrent fuzzy neural network, called an interactively recurrent
self-evolving fuzzy neural network (IRSFNN), for prediction and identification of dynamic …

A complex fuzzy set is a set whose membership values are vectors in the unit circle in the
complex plane. This paper establishes the orthogonality relation of complex fuzzy sets. Two …

This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed
methodology is based on adding a second regularization term in the objective function of a …

In this study, auto regressive with exogenous input (ARX) modeling is improved with fuzzy
functions concept (FF-ARX). Fuzzy function with least squares estimation (FF-LSE) method …

This paper proposes a recurrent neural fuzzy controller (RNFC) approach based on a self‐
organizing improved particle swarm optimization (SOIPSO) algorithm used for solving …

In this study, the structure of fuzzy functions is improved by function expansion. Unlike fuzzy
conventional if-then rules, classical fuzzy function structure includes fuzzy bases and linear …

本篇論文提出以相互影響地遞迴式架構為基礎之類神經模糊系統及其應用於動態系統辨識.
而此論文主要分成四大部份, 第二部份詳細介紹相互影響地遞迴式架構與類神經模糊系統作結合 …

A new representation for fuzzy systems in terms of additive and multiplicative subsystem
inferences of single variable is proposed. This representation enables an approximate …

A new representation for fuzzy systems in terms of additive and multiplicative subsystem
inferences of single variable is proposed. This representation enables an approximate …

This paper presents a contribution to study and synthesis an optimal output feedback
controller for a class of discrete-time nonlinear systems that can be represented by a Takagi …