Search scope:
排序: Display mode:
Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge
Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1, Pages 85-89 doi: 10.1007/s11465-005-0023-6
A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presentedto solve fuzzy edge detection problems in image processing.The experimental results show that the method not only can correctly detect the fuzzy edge and exiguousedge but can evidently improve the searching efficiency of fuzzy clustering algorithm based on IEA.
Keywords: disturbance amplitude disturbance diversity generation processing
A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory
Luo Dang
Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 32-36
Keywords: fuzzy clustering rough sets decision table decision rule
Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration
Li Dejun,Lv Runhua,Wang Runtian
Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 81-84
Keywords: fuzzy pattern recognition nearest neighbor(NN) cooperative clustering algorithm(CCA) slurry concentration
Pattern Recognition With Fuzzy Central Clustering Algorithms
Zen Huanglin,Yuan Hui,Liu Xiaofang
Strategic Study of CAE 2004, Volume 6, Issue 11, Pages 33-37
Based on optimization of constrained nonlinear programming, an approach of clustering center and afuzzy membership function of pattern classification are derived from an objective function of the constrainedAn unsupervised algorithm with recursive expression and a fuzzy central cluster neural network are suggestedThe fuzzy central cluster neural network proposed here can realize crisp decision or fuzzy decision in
Keywords: fuzzy sets central cluster pattern recognition neural network
Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements
Li Rupeng,Wei Wei,Zhou Feng,Zou Cheng
Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 33-41 doi: 10.15302/J-SSCAE-2018.02.006
Keywords: rapid response to customer requirements fuzzy clustering requirements transformation CA-QFD method
An anchor-based spectral clustering method None
Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1385-1396 doi: 10.1631/FITEE.1700262
Spectral clustering is one of the most popular and important clustering methods in pattern recognitionFor a clustering problem with n samples, it needs to compute the eigenvectors of the graph Laplacianmethods, i.e., power iteration clustering and landmark-based spectral clustering, on 10 real-world applicationsExperimental results show that ASC is consistently faster than the classical spectral clustering withcomparable clustering performance, and at least comparable with or better than the state-of-the-art
Keywords: Clustering Spectral clustering Graph Laplacian Anchors
Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP
Frontiers in Energy 2015, Volume 9, Issue 2, Pages 231-237 doi: 10.1007/s11708-015-0358-6
Keywords: non-intrusive appliance load monitoring event detection goodness-of-fit (GOF) K-means clustering
A sampling method based on URL clustering for fast web accessibility evaluation
Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 449-456 doi: 10.1631/FITEE.1400377
Keywords: Page sampling URL clustering Web accessibility evaluation
Incomplete Fuzzy Information System
Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan
Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 47-53
In this paper, incomplete fuzzy information system is studied.In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.
Keywords: incomplete fuzzy information system fuzzy compatible relation fuzzy rough set fuzzy covering fuzzy roughentropy fuzzy knowledge dependency
The research of grey clustering decision of assembly sequence based on petri net
Mo Qian,Luo Yi
Strategic Study of CAE 2008, Volume 10, Issue 11, Pages 65-68
Keywords: assembly sequence petri net grey clustering decision method
An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support
Zeshui XU, Shen ZHANG
Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 163-182 doi: 10.1007/s42524-019-0017-4
Keywords: hesitant fuzzy set hesitant fuzzy preference relation group decision-making
Generalized labeled multi-Bernoulli filter with signal features of unknown emitters Research Article
Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1871-1880 doi: 10.1631/FITEE.2200286
A novel algorithm that combines the (GLMB) filter with signal features of the unknown emitter is proposed in this paper. In complex electromagnetic environments, emitter features (EFs) are often unknown and time-varying. Aiming at the unknown feature problem, we propose a method for identifying EFs based on of data fields. Because EFs are time-varying and the probability distribution is unknown, an improved algorithm is proposed to calculate the correlation coefficients between the target and measurements, to approximate the EF likelihood function. On this basis, the EF likelihood function is integrated into the recursive GLMB filter process to obtain the new prediction and update equations. Simulation results show that the proposed method can improve the tracking performance of multiple targets, especially in heavy clutter environments.
Keywords: Multi-target tracking Generalized labeled multi-Bernoulli Signal features of emitter Fuzzy C-means Dynamic clustering
A Sort of Continued Fuzzy Operators and Its Application
Zhang Shiqiang
Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 27-31
A sort of continued fuzzy operators is given.from applied point of view, relation between the triangle norm operators most in use and the continued fuzzyA new fuzzy synthetic evaluation criterion and method are given.The new fuzzy synthetic evaluation criterion and method have some important characteristics as follows
Keywords: fuzzy mathematics fuzzy synthetic evaluation triangle norm operator continued fuzzy operators
A novel approach for remanufacturing process planning considering uncertain and fuzzy information
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 546-558 doi: 10.1007/s11465-021-0639-1
Keywords: remanufacturing uncertain and fuzzy information process planning T-S FNN
Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method
Cao Bingyuan
Strategic Study of CAE 2001, Volume 3, Issue 3, Pages 52-55
Keywords: fuzzy geometric programming economic power supply radius optimum seeking transformer substations capacity
Title Author Date Type Operation
Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge
Journal Article
Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration
Li Dejun,Lv Runhua,Wang Runtian
Journal Article
Pattern Recognition With Fuzzy Central Clustering Algorithms
Zen Huanglin,Yuan Hui,Liu Xiaofang
Journal Article
Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements
Li Rupeng,Wei Wei,Zhou Feng,Zou Cheng
Journal Article
A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load
Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP
Journal Article
A sampling method based on URL clustering for fast web accessibility evaluation
Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN
Journal Article
The research of grey clustering decision of assembly sequence based on petri net
Mo Qian,Luo Yi
Journal Article
An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support
Zeshui XU, Shen ZHANG
Journal Article
Generalized labeled multi-Bernoulli filter with signal features of unknown emitters
Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG
Journal Article
A novel approach for remanufacturing process planning considering uncertain and fuzzy information
Journal Article