APPLICATION OF FUZZY COMPREHENSIVE CLUSTERING IN URBAN LAND GRADATION BASED ON DATA FIELD
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.
Data field fuzzy comprehensive clustering fuzzy confidence level average absolute distance algorithm the largest eigenvalue algorithm land gradation
GUAN Xing-liang FANG Chuang-lin DONG Cheng-wei LU Sha-sha
Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, P.R. China Gra Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, P.R. China College of Resources and Environment, Graduate University of Chinese Academy of Sciences, Beijing 10
国际会议
2010 IEEE Youth Conference on Information,Computing and Telecommunications(2010 IEEE青年信息、计算和通信技术大会)
北京
英文
371-374
2010-11-28（万方平台首次上网日期，不代表论文的发表时间）