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体现主客观信息的土地定级因素综合集成赋权法研究
引用本文:胡石元,李德仁,刘耀林,李德毅. 体现主客观信息的土地定级因素综合集成赋权法研究[J]. 武汉大学学报(信息科学版), 2006, 31(8): 695-699
作者姓名:胡石元  李德仁  刘耀林  李德毅
作者单位:[1]武汉大学资源与环境科学学院,武汉市珞喻路129号430079 [2]武汉大学教育部地理信息系统重点实验室,武汉市珞喻路129号430079 [3]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079 [4]中国电子系统工程研究所,北京市万寿路6号100039
摘    要:应用云模型、特尔斐法、关联分析法研究了土地定级中各影响因素的合理赋权问题,提出了体现主客观信息的土地定级因素综合集成赋权方法,并依据武汉市土地定级指标体系和有关数据,对武汉市土地定级影响因素进行了权重挖掘。

关 键 词:土地定级因素  云模型  关联分析  不确定性推理  权重集成  主客观权重挖掘
文章编号:1671-8860(2006)08-0695-05
修稿时间:2006-05-15

Determination and Integration of Subjective Weights and Objective Weights of Land Grading Factors
HU Shiyuan. Determination and Integration of Subjective Weights and Objective Weights of Land Grading Factors[J]. Geomatics and Information Science of Wuhan University, 2006, 31(8): 695-699
Authors:HU Shiyuan
Affiliation:HU Shiyuan~
Abstract:Some shortcomings of traditional methods in figuring out the weights of land grading factors are analyzed,and a weight mining method based on cloud model,which integrates subjective information with objective information,is brought forth.The basic idea of applying cloud model,Delphi and correlation analysis to figure out the weights of land grading factors is also expatiated.Last,the residential land in Wuhan is taken as an example to mine the weights of land grading factors,and the feasibility of the application is analyzed.
Keywords:land grading factor  cloud models  correlation analysis  uncertain illation  weight integration  data mining for subjective and objective weight  
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