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fuzzy clustering analysis on the Production Capacity of Main Costal Ports

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Fuzzy Clustering Analysis on the Production Capacity of Main...

Discrete Variable Structural Optimization based on Multidirectional fuzzy Genetic Algorithm

The Second Conference on fuzzy Information & Engineering

作者： LINA ZHANG Graduate School of Beijing Material Institute, 101149, China HONGMEI JU Basic Department of Beijing Material Institute,101149, China

With the frequency of economic activities over the world,there’re too many examples to talk about that the flourish of port trade leads to the prosperity of the nation. Learning from history, it’s important to develop port economy. This paper analyses the production capacity of main coastal ports in our country by fuzzy clustering and gives proposals for development.

关键词： fuzzy clustering analysis production capacity of port

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Chinese Journal of Mechanical Engineering 2012年第2期25卷 255-261页

作者： LAI Yinan DAI Ye BAI Xue CHEN Dongyan School of Mechanical and Power Engineering Harbin University of Science and TechnologyHarbin 150080China School of Applied Science Harbin University of Science and TechnologyHarbin 150080China

Round method is the common method for discrete variable optimization in optimal design of complex mechanical structures;however,it has some disadvantages such as poor precision,simple model and lacking of working conditions＇ description,*** solve these problems,a new model is constructed by defining parameterized fuzzy entropy,and the rationality of parameterized fuzzy entropy is *** a new multidirectional searching algorithm is further put forward,which takes information of actual working conditions into consideration and has a powerful local searching *** this new algorithm is combined with the GA by the fuzzy clustering algorithm（FCA）.With the application of FCA,the optimal solution can be effectively filtered so as to retain the diversity and the elite of the optimal solution,and avoid the structural re-analysis phenomenon between the two *** structure design of a high pressure bypass-valve body is used as an example to make a structural optimization by the proposed HGA and finite element method（FEM）,*** comparison result shows that the improved HGA fully considers the characteristic of discrete variable and information of working conditions,and is more suitable to the optimal problems with complex working ***,the research provides a new approach for discrete variable structure optimization problems.

关键词： parameterized fuzzy entropy fuzzy clustering analysis multidirectional searching algorithm genetic algorithm high pressure bypass-valve

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Kernel method-based fuzzy clustering algorithm

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Journal of Systems Engineering and Electronics 2005年第1期16卷 160-166页

作者： WuZhongdong GaoXinbo XieWeixin YuJianping SchoolofElectronicEngineering XidianUniversityXi'an710071P.R.China CollegeofInformationEngineering ShenzhenUniversityShenzhen518060P.R.China SchoolofElectronicEngineering XidianUniversityXi'an710071P.R.China

The fuzzy C-means clustering algorithm(FCM) to the fuzzy kernel C-means clustering algorithm(FKCM) to effectively perform cluster analysis on the diversiform structures are extended, such as non-hyperspherical data, data with noise, data with mixture of heterogeneous cluster prototypes, asymmetric data, etc. Based on the Mercer kernel, FKCM clustering algorithm is derived from FCM algorithm united with kernel method. The results of experiments with the synthetic and real data show that the FKCM clustering algorithm is universality and can effectively unsupervised analyze datasets with variform structures in contrast to FCM algorithm. It is can be imagined that kernel-based clustering algorithm is one of important research direction of fuzzy clustering analysis.

关键词： fuzzy clustering analysis kernel method fuzzy C-means clustering.

维普期刊数据库

A method of automatic image segmentation for gas bubbles in water

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Journal of Harbin Institute of Technology(New Series) 2012年第4期19卷 31-36页

作者：刘波林焰王云龙 State Key Laboratory of Structural analysis for Industrial Equipment School of Naval Architecture and Ocean EngineeringDalian University of Technology

This paper presents an algorithm of automatic bubble image segmentation using the improved ant colony optimization methodology. The ant colony optimization method is a metaheuristic algorithm, and has been applied in many fields. To reveal the versatility and appropriateness of automatic bubble image segmentation, the fuzzy clustering analysis method is employed in ant colony optimization algorithm. Compared with the well-known image feature extraction operators such as SUSAN and Canny, the proposed method can comparatively suitable to extract the gas bubbles image edge features. The experimental results show that the proposed method is effective and reliable, and can achieve satisfactory image edge extraction effect.

关键词： gas bubbles image segmentation ant colony algorithm fuzzy clustering analysis watershed algorithm

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模糊聚类分析在县级农业区划中的应用

福建师范大学学报(自然科学版) 1987年第1期 70-74页

作者：程泽明福建师范大学地理系

本文以浦城县为例,试图通过建立数学模式来确定县级农业生产地域分异界线,得出了与实际吻合的结果,并根据当地情况,提出各区农业生产的努力方向。

关键词： fuzzy clustering analysis Agriculture Regionalization Puchen County of Fujian Province.

STUDY ON CLASSIFICATION OF MARSHALLING STATION BASED ON fuzzy CLUTERING analysis

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STUDY ON CLASSIFICATION OF MARSHALLING STATION BASED ON FUZZ...

一种基于模糊集理论的判定聚类有效性的新指标

第一届交通运输工程国际学术会议

作者： YIN Yong1, PENG Qiyuan2,and XU Xuecai3 1School of Traffic and Transportation, Southwest Jiaotong University, Chengdu, China 2School of Traffic and Transportation, Southwest Jiaotong University, Chengdu, China PH: 610031 3University of Nevada, Las Vegas, NV 89154

The classification of marshalling station is studied by adopting fuzzy clustering analysis. The suitable spatial division is performed by using fuzzy c-division method for marshalling station, on the basis of which the clustering analysis is made with the fuzzy clustering ISODATA method. Finally the case study verifies the effectiveness of fuzzy clustering analysis method, which will provide a new approach for the quantitative research of marshalling station classification.

关键词： fuzzy clustering analysis Marshalling Station Classification

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一种基于模糊集理论的判定聚类有效性的新指标

基于模糊聚类分析法的我国快递业代收货款风险分析与对策研究

第二十二届中国数据库学术会议

作者：林香姜青山洪志令董槐林厦门大学软件学院厦门大学计算机科学系

1引言聚类分析是以相似性为基础,把一组个体划分成若干个具有一定意义的子类,即"物以类聚",其目的是使得属于同一类别的个体之间尽可能相似,而不同类别的个体之间尽可能相异。目前广泛使用的

关键词： clustering fuzzy clustering analysis Validity index FCM algorithm fuzzy logic

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物流管理