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Comparison of cations recorded in Antarctica and the Qing-hai-Tibetan Plateau ice core by using fuzzy cluster analysis

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Chinese Journal of Polar Science 1998年第1期9卷 29-34页

作者：段克勤姚檀栋徐柏青

A new approach of glacier classification is suggested on the basis of fuzzy cluster analysis of cations in ice cores. Cations in an ice core act as a synthetic index to refelect both the local and the global climate. fuzzy cluster analysis of long time series data of cations in ice cores from five representative glacial ice cores (from south to north) has been used to create a similarity scale matrix R among these glaciers. Accordingly, any change in R represents a change in environment and climate. This type of analysis can determine the relativity of samples (glaciers) according to a cluster level ( λ ). fuzzy cluster analysis of cations in ice cores collected from Antarctica and the Qinghai Tibetan Plateau indicates drastic difference between glaciers of these two regions.

关键词： fuzzy cluster analysis cations Antarctica the Qinghai Tibetan Plateau.

Application of fuzzy cluster analysis Method in Evaluating Relevant Index and Recognizing Risks of Coronary Heart Disease in the Aged

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Journal of Donghua University(English Edition) 2003年第3期20卷 134-137页

作者：耿辉杨玉坤 Department of Mathematics Shanghai UniversityShanghai200436 China Pacific Insurance (Group)Co. LtdShanghai200002

The risk recognition model for preventing and monitoring the Coronary Heart Diseases (CHD) in the aged is proposed, which is based on the testing results of four indexes and includes Low Density Lipoprotein (LDL), Total Cholesterol (TC), Triglyceridemia (TG)and age. Some people who took the health checkup in Shanghai Xinhua Hospital are classified into 3 groups,and each group is associated with prevalence risk of contracting CHD. Then the fuzzy recognition method is applied to evaluate the risk of CHD. The accuracy rate is up to 85%. The model is applicable to not only analysis of risk in medical but also analysis of risk in finance, insurance and some other fields.

关键词： fuzzy cluster analysis fuzzy pattern recognition analysis of risk

Self-adaption Based on fuzzy cluster analysis for Load Distribution of Tandem Cold Rolling

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Self-adaption Based on Fuzzy Cluster Analysis for Load Distr...

Canopy Spectral Reflectance Characteristics of Rice with Different Cultural Practices and Their fuzzy cluster analysis

第十届国际轧钢大会

作者： Guo Liwei Gao Lei (Beijing Shougang Automation Information Technology Co. Ltd Beijing 100041 China)

＜正＞Because the precision of optimization mathematic model used in load distribution is not high enough,it is difficult to obtain the optimum load distribution and sometimes the regular production is affected,if the optimization result is used in field *** to this condition,the paper presents that the fuzzy cluster analysis based on fuzzy equivalence relation can be used to self-adapt the optimization results,using the actual load distribution in *** then,the results of self-adaption will be optimum and *** is proved that the method is *** gives a self-adaption method to improve the precision of load distribution.

关键词： tandem cold rolling load distribution fuzzy cluster analysis self-adaption

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Rice science 2005年第1期12卷 254-254页

作者： XUE Li-hong CAO Wei-xing Luo Wei-hong YANG Lin-zhang Nanjing Agricultural University/Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province Nanjing 210095China Institute of Soil Science Chinese Academy of Sciences Nanjing 210008 China

The influence of major cultural practices including different nitrogen application rates, population densities, transplanting leaf ages of seedling, and water regimes on rice canopy spectral reflectance was investigated. Results showed that increased nitrogen rates, water regimes and population densities and decreased seedling ages could enhance reflectance at NIR （near infrared） bands and reduce reflectance at visible bands. Using reflectance of green, red and NIR band and ratio index of 810-560 nm could distinguish the different type of rice by fuzzy cluster analysis,

关键词： rice cultural practices canopy reflectance spectrum fuzzy cluster analysis

New judging model of fuzzy cluster optimal dividing based on rough sets theory

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Journal of Systems Engineering and Electronics 2007年第2期18卷 392-397页

作者： Wang Yun Liu Qinghong Mu Yong Shi Kaiquan School of Mathematics and System Sciences Shandong Univ. Jinan 250100 P. R. China School of Science Univ. of Jinan Jinan 250022 P. R. China

To investigate the judging problem of optimal dividing matrix among several fuzzy dividing matrices in fuzzy dividing space, correspondingly, which is determined by the various choices of cluster samples in the totality sample space, two algorithms are proposed on the basis of the data analysis method in rough sets theory： information system discrete algorithm （algorithm 1） and samples representatives judging algorithm （algorithm 2）. On the principle of the farthest distance, algorithm 1 transforms continuous data into discrete form which could be transacted by rough sets theory. Taking the approximate precision as a criterion, algorithm 2 chooses the sample space with a good representative. Hence, the clustering sample set in inducing and computing optimal dividing matrix can be achieved. Several theorems are proposed to provide strict theoretic foundations for the execution of the algorithm model. An applied example based on the new algorithm model is given, whose result verifies the feasibility of this new algorithm model.

关键词： Rough sets theory fuzzy optimal dividing matrix Representatives of samples fuzzy cluster analysis Information system approximate precision.

The Optimal Location of Dry Port:A Case Study of the Hinterland of Western Side of the Taiwan Straits Port Group

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The Optimal Location of Dry Port:A Case Study of the Hinterl...

第17届工业工程与工程管理国际学术会议(IE&EM2010)

作者： Ying WANG,Jian WANG College of ALL-TRANS Logistics,Fuzhou University,Fuzhou,China

How to choose the location for dry port is a practical problem,which becomes more and more important. In this paper,taking the hinterland of Western Side of the Taiwan Straits Port Group as a case studied,we use fuzzy clustering to rank alternatives in order to lay out the optimal location of dry *** studied in the situation of regional economy and transportation,firstly an evaluation index including factors that influence the dry port is set up, and secondly fuzzy cluster analysis is used to select and rank the candidate locations,finally three grades of locations are classified and each one requires different construction *** paper provides a method to optimize the location of dry port,and these results are helpful for accelerate the development of both seaports and dry ports.

关键词： dry port optimal location fuzzy cluster analysis Western Side of the Taiwan Straits Port Group

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国际电子商务研究中常用的感知风险分析方法