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《地球科学》 2006-03
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Weights of Evidence Method Based on Fuzzy Training Layer and Its Application in Desertification Assessment

ZHANG Sheng-yuan 1,2,3, WU Qiang1, CHENG Qiu-ming 3,4, GE Yong 3,51.School of Resource and Safety Engineering, China University of Mining & Technology, Beijing100083, China2.School of Economics and Commerce, Shijiazhuang University of Economics, Shijiazhuang050031, China3.State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan430074, China4.Department of Earth and Space Science and Engineering, York University, Toronto M3J1P3, Canada5.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and NaturalResources Research, Chinese Academy of Sciences, Beijing100101, China  
This paper proposes an extended version of the fuzzy weights of evidence method, based on the fuzzy training layer for assessing and predicting the occurrence of area-events. It can be considered as a generalization of the ordinary weights of evidence method, which is used to predict the occurrence of point-events with known evidences and training layers. Unlike the ordinary weights of evidence using point training sets, the new method involves training data as a fuzzy set. Point training data can be converted to a fuzzy set, therefore the new method can predict both point-events and area-events. When both evidence and training data are fuzzy sets, the new method acts as a dual fuzzy weights of evidence method. A case study has been used to demonstrate the application of the method in assessing desertification in the area in the contact of Shanxi and Shaanxi Provinces and Inner Mongolia Autonomous Region.
【Fund】: 地质过程和矿产资源国家重点实验室开放基金项目(Nos.MGMR200209;GPMR0503).
【CateGory Index】: X825
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