基于模糊预测对象的证据权方法及其在土地沙漠化评价中的应用

张生元; 武强; 成秋明; 葛咏

Volume 31 Issue 3

May 2006

Turn off MathJax

Article Contents

Article Navigation > Earth Science > 2006 > 31(3): 389-393

ZHANG Sheng-yuan, WU Qiang, CHENG Qiu-ming, GE Yong, 2006. Weights of Evidence Method Based on Fuzzy Training Layer and Its Application in Desertification Assessment. Earth Science, 31(3): 389-393.

Citation:

ZHANG Sheng-yuan, WU Qiang, CHENG Qiu-ming, GE Yong, 2006. Weights of Evidence Method Based on Fuzzy Training Layer and Its Application in Desertification Assessment. Earth Science, 31(3): 389-393.

ZHANG Sheng-yuan, WU Qiang, CHENG Qiu-ming, GE Yong, 2006. Weights of Evidence Method Based on Fuzzy Training Layer and Its Application in Desertification Assessment. Earth Science, 31(3): 389-393.

Citation:

ZHANG Sheng-yuan, WU Qiang, CHENG Qiu-ming, GE Yong, 2006. Weights of Evidence Method Based on Fuzzy Training Layer and Its Application in Desertification Assessment. Earth Science, 31(3): 389-393.

PDF( 253 KB)

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, 5}

1.
School of Resource and Safty Engineering, China University of Mining & Technology, Beijing 100083, China
2.
School of Economics and Commerce, Shijiazhuang University of Economics, Shijiazhuang 050031, China
3.
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wulmn 430074, China
4.
Department of Earth and Space Science and Engineering, York University, Toronto M3J1P3, Canada
5.
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received Date: 2005-08-12
Publish Date: 2006-05-25

Abstract

Abstract

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.
- weights of evidence method,
- area-event,
- point-event,
- fuzzy set,
- fuzzy object,
- desertification

FullText(HTML)

References(14)

References

Agterberg, F. P., 1989. Computer programs for mineral exploration. Science, 245: 76-81. doi: 10.1126/science.245.4913.76

Agterberg, F. P., Bonham-Carter, G. F., Wright, D. F., 1990. Statistical pattern integration for mineral exploration. Computer applications in resource estimation prediction and assessment of metals and petroleum. Pergamon Press, New York, 1-12.

Bonham-Carter, G. F., 1994. Geographic information systems for geosciences: Modelling with GIS. Pergamon, Oxford, 1-398.

Bonham-Carter, G. F., Agterberg, F. P., Wright, D. F., 1988. Integration of geological datasets for gold exploration in Nova Scotia. Photogrammetric Engineering and Remote Sensing, 54(11): 1585-1592. doi: 10.1029/SC010p0015

Bonham-Carter, G. F., Agterberg, F. P., Wright, D. F., 1990. Weights of evidence modelling: A new approach to mapping mineral potentia. Geological Survey of Canada Paper 89-9, 171-183.

Cheng, Q., Agterberg, F. P., 1999. Fuzzy weights of evidence method and its applications in mineral potential mapping. Natural Resource Research, 8(1): 27-35. doi: 10.1023/A:1021677510649

Cheng, Q., 2004. Application of weights of evidence method for assessment of flowing wells in the Greater Toronto Area, Canada. Natural Resource Research, 13(2): 77-86. doi: 10.1023/B:NARR.0000032645.46747.48

Cheng, Q., Zhang, S., 2002. Fuzzy weights of evidence method implemented in GeoDAS GIS for information extraction and integration for prediction of point events. In: Proceedings(CD) of 2002 IEEE Int. Geoscience and Remote Sensing Symposium, Toronto, 1-3.

Cheng, Q. M., 2003. Non-linear minerlization model and information processing methods for prediction of unconventional mineral resources. Earth Science—Journal of China University of Geosciences, 28(4): 445-454(in Chinese with English abstract). doi: 10.1007/BF02873153

Kemp, L. D., Bonham-Carter, G. F., Raines, G. L., 1999. Arc-WofE: Arcview extension for weights of evidence mapping. http://gis.nrcan.gc.ca/software/arcview/wofe.

Raines, G. L., Bonham-Carter, G. F., Kemp, L., 2000. Predictive probabilistic modelling using ArcView GIS. ArcUser, 3(2): 45-48.

Wang, X. Z., Shi, W. Z., Wang, S. L., 2003. Information process in fuzzy space. Wuhan University Press, Wuhan, 1-280(in Chinese).

成秋明, 2003. 非线性矿床模型与非常规矿产资源评价. 地球科学—中国地质大学学报, 28(4): 445-454. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200304015.htm

王新洲, 史文中, 王树良, 2003. 模糊空间信息处理. 武汉: 武汉大学出版社, 1-280

Relative Articles

Supplements(0)

Cited By

Proportional views