Fuzzy Disturbance Observer Design for a Class of Nonlinear SISO SystemsInternational Journal of Fuzzy Systems - Tập 24 - Trang 147-158 - 2021
Qiankang Hou, Li Ma, Hai Wang, Shihong Ding
In this paper, a novel fuzzy disturbance observer (DOB) is designed for a class of nonlinear single-input–single-output (SISO) systems. The main feature of the proposed DOB lies in that only the control input and system output information is required. According to the output information and mathematical model of the original SISO system, an auxiliary system is constructed to estimate the disturban...... hiện toàn bộ
New Linguistic Z-Number Petri Nets for Knowledge Acquisition and Representation Under Large Group EnvironmentInternational Journal of Fuzzy Systems - Tập 24 - Trang 3483-3500 - 2022
Hua Shi, Hu-Chen Liu, Jing-Hui Wang, Xun Mou
In this paper, we develop a new model named linguistic Z-number Petri nets for knowledge acquisition and representation in the large group environment. First, the linguistic Z-number production rules are introduced for knowledge representation, where truth degrees, threshold values, and certainty factors are described by linguistic Z-numbers. Subsequently, a knowledge acquisition approach is put f...... hiện toàn bộ
A K-means Interval Type-2 Fuzzy Neural Network for Medical DiagnosisInternational Journal of Fuzzy Systems - Tập 21 - Trang 2258-2269 - 2019
Tien-Loc Le, Tuan-Tu Huynh, Lo-Yi Lin, Chih-Min Lin, Fei Chao
This paper proposes a new medical diagnosis algorithm that uses a K-means interval type-2 fuzzy neural network (KIT2FNN). This KIT2FNN classifier uses a K-means clustering algorithm as the pre-classifier and an interval type-2 fuzzy neural network as the main classifier. Initially, the training data are classified into k groups using the K-means clustering algorithm and these data groups are then ...... hiện toàn bộ
Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and ApplicationInternational Journal of Fuzzy Systems - Tập 24 - Trang 2740-2752 - 2022
Hee-Jun Min, Jae-Won Shim, Hye-Ju Han, Chang-Hee Park, Hye-Young Jung
Fuzzy transform is a novel and well-founded soft computing method for reconstruction and denoising of image data. Recently, a least-squares fuzzy transform that combines a fuzzy transform with a least-squares algorithm for function reconstruction has been proposed. However, the least-squares fuzzy transform has a drawback because it uses an estimation process based on the least-squares algorithm, ...... hiện toàn bộ
Safety Assessment of Complex Electromechanical Systems Based on Hesitant Interval-Valued Intuitionistic Fuzzy TheoryInternational Journal of Fuzzy Systems - Tập 21 - Trang 2405-2420 - 2019
Shuai Lin, Limin Jia, Yanhui Wang
This paper proposes a novel framework for assessing the system safety of complex electromechanical systems (CEMSs). From the perspective of system topology, the fault pervasion probability (FPP) is first proposed to analyze fault propagation mechanisms in combination with historical failure data. This approach can easily identify all failure propagation paths and rapidly locate fault nodes, thereb...... hiện toàn bộ
Hesitant Fuzzy Multi-Criteria Group Decision Making with Unknown Weight InformationInternational Journal of Fuzzy Systems - Tập 19 - Trang 615-636 - 2016
Zhiming Zhang
The hesitant fuzzy set permits the membership degree of an element to be a set of several possible values between 0 and 1, and is therefore an efficient tool for handling multi-criteria group decision making (MCGDM) problems in which experts hesitate between several values to assess an alternative. The aim of this paper is to study MCGDM problems in which the criterion values provided by experts t...... hiện toàn bộ
Analyzing the Ranking Method for Fuzzy Numbers in Fuzzy Decision Making Based on the Magnitude ConceptsInternational Journal of Fuzzy Systems - Tập 19 - Trang 1279-1289 - 2016
Vincent F. Yu, Luu Huu Van, Luu Quoc Dat, Ha Thi Xuan Chi, Shuo-Yan Chou, Truong Thi Thuy Duong
Ranking fuzzy numbers is an important component in the decision-making process with the last few decades having seen a large number of ranking methods. Ezzati et al. (Expert Syst Appl 39:690–695, 2012) proposed a revised approach for ranking symmetric fuzzy numbers based on the magnitude concepts to overcome the shortcoming of Abbasbandy and Hajjari’s method. Despite its merits, some shortcomings ...... hiện toàn bộ