APplication of fuzzy comprehensive clustering in urban land gradation based on data field

2010 IEEE Youth Conference on Information, Computing and Telecommunications Pub Date : 2010-11-01 DOI:10.1109/YCICT.2010.5713122

X. Guan, C. Fang, Cheng-Wei Dong, Shasha Lu

{"title":"APplication of fuzzy comprehensive clustering in urban land gradation based on data field","authors":"X. Guan, C. Fang, Cheng-Wei Dong, Shasha Lu","doi":"10.1109/YCICT.2010.5713122","DOIUrl":null,"url":null,"abstract":"As industrialization and urbanization accelerates, it is significant to establish a superior urban land evaluation system. Fuzzy theory consist of fuzzy comprehensive evaluation and fuzzy clustering analysis has achieved sound effects in the urban land evaluation for its' considering the ambiguity of the land quality. However, there are several limitations in these two traditional methods. Firstly, fuzzy comprehensive evaluation neglects some related information among similar spatial entities. Secondly, although fuzzy clustering analysis takes the spatial-related information into account, yet its selecting the threshold according to subjective experience and different thresholds may further get different clustering results. In this paper, the authors proposed the fuzzy comprehensive clustering algorithm based on data field, which would overcome the defects of either fuzzy comprehensive evaluation or fuzzy clustering analysis. A case study is given on land gradation in Shishi city of Fujian Province and the results of land gradation are proved to be consistent with the actual situation. How to obtain the accurate fuzzy equivalent matrix is the key of successful application of this method.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

As industrialization and urbanization accelerates, it is significant to establish a superior urban land evaluation system. Fuzzy theory consist of fuzzy comprehensive evaluation and fuzzy clustering analysis has achieved sound effects in the urban land evaluation for its' considering the ambiguity of the land quality. However, there are several limitations in these two traditional methods. Firstly, fuzzy comprehensive evaluation neglects some related information among similar spatial entities. Secondly, although fuzzy clustering analysis takes the spatial-related information into account, yet its selecting the threshold according to subjective experience and different thresholds may further get different clustering results. In this paper, the authors proposed the fuzzy comprehensive clustering algorithm based on data field, which would overcome the defects of either fuzzy comprehensive evaluation or fuzzy clustering analysis. A case study is given on land gradation in Shishi city of Fujian Province and the results of land gradation are proved to be consistent with the actual situation. How to obtain the accurate fuzzy equivalent matrix is the key of successful application of this method.

查看原文本刊更多论文

基于数据场的模糊综合聚类在城市土地定级中的应用

随着工业化和城市化进程的加快，建立完善的城市土地评价体系具有重要意义。由模糊综合评价和模糊聚类分析组成的模糊理论由于考虑了土地质量的模糊性，在城市土地评价中取得了较好的效果。然而，这两种传统方法存在一些局限性。首先，模糊综合评价忽略了相似空间实体之间的一些相关信息。其次，模糊聚类分析虽然考虑了空间相关信息，但其根据主观经验选择阈值，不同的阈值可能会进一步得到不同的聚类结果。本文提出了基于数据场的模糊综合聚类算法，克服了模糊综合评价和模糊聚类分析的缺陷。以福建省石狮市土地定级为例，证明了土地定级的结果与实际情况相吻合。如何获得准确的模糊等效矩阵是该方法成功应用的关键。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2010 IEEE Youth Conference on Information, Computing and Telecommunications

自引率

0.00%

发文量