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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

Abstract:

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

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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

Abstract: model is presented for dealing with uncertain and imprecise problems, based on the difference between fuzzyThe model is firstly to classify the uncertain examples given using fuzzy clustering analysis, to make

Keywords： fuzzy clustering rough sets decision table decision rule

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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

Abstract: Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clustering

Keywords： fuzzy pattern recognition nearest neighbor(NN) cooperative clustering algorithm(CCA) slurry concentration

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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

Abstract:

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

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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

Abstract: This paper proposes a novel method for rapid response to CRs in product optimization design via fuzzyclustering and conjoint analysis-quality function deployment (CA-QFD).The proposed approach has twoThe first is classifying original complex CR data as a standard CR dataset by fuzzy clustering method

Keywords： rapid response to customer requirements fuzzy clustering requirements transformation CA-QFD method

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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

Abstract:

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

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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

Frontiers in Energy 2015, Volume 9, Issue 2, Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: In this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM wereThe results from the ON-OFF pairing algorithm were further clustered in groups utilizing the -means clusteringThe -means clustering were implemented as an unsupervised learning methodology for the clustering analysiselectrical appliance is turned ON through combination of event detection, ON-OFF pairing and -means clustering

Keywords： non-intrusive appliance load monitoring event detection goodness-of-fit (GOF) K-means clustering

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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

Abstract: In existing stratified sampling methods, however, all the pages in a website need to be analyzed for clusteringTo address this issue, we propose a novel page sampling method based on URL clustering for web accessibility

Keywords： Page sampling URL clustering Web accessibility evaluation

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Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 47-53

Abstract:

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

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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

Abstract: Most of factors influencing assembly sequence are certainly qualitative, fuzzy, non-numerical, assemblysequence is regarded as a gray system, and grey clustering decision method is adopted to evaluate feasibleThis paper analyzes the gray classification of the influence factor and studies grey clustering decision

Keywords： assembly sequence petri net grey clustering decision method

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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

Abstract: Due to the characteristics of hesitant fuzzy sets (HFSs), one hesitant fuzzy element (HFE), which isIn this paper, we elaborate on hesitant fuzzy GDM from these three aspects.The first aspect is mainly about the introduction of HFSs, HFPRs and some hesitant fuzzy aggregationThe second aspect describes the consensus process under hesitant fuzzy environment, which is an importantIn the third aspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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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

Abstract:

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

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A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 27-31

Abstract:

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

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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

Abstract: comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain, fuzzyHence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, andThe solution is provided through an improved Takagi–Sugeno fuzzy neural network (T-S FNN) method.

Keywords： remanufacturing uncertain and fuzzy information process planning T-S FNN

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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

Abstract: A fuzzy geometric programming model of power supply radius under the fuzzy environment, including problemsof soft constraints and fuzzy functions with fuzzy coefficients, is built in order to determine the

Keywords： fuzzy geometric programming economic power supply radius optimum seeking transformer substations capacity