改进的加权证据权模型及其在个旧锡铜矿产资源预测中的应用

张生元; 成秋明; 张素萍; 徐德义

doi:10.3799/dqkx.2012.125

Volume 37 Issue 6

Jun. 2012

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Article Navigation > Earth Science > 2012 > 37(6): 1175-1182

ZHANG Sheng-yuan, CHENG Qiu-ming, ZHANG Su-ping, XU De-yi, 2012. Improvement of Weighted Weights of Evidence and Its Applications in Sn-Cu Mineral Potential Mapping in Gejiu, Yunnan Province, China. Earth Science, 37(6): 1175-1182. doi: 10.3799/dqkx.2012.125

Citation:

ZHANG Sheng-yuan, CHENG Qiu-ming, ZHANG Su-ping, XU De-yi, 2012. Improvement of Weighted Weights of Evidence and Its Applications in Sn-Cu Mineral Potential Mapping in Gejiu, Yunnan Province, China. Earth Science, 37(6): 1175-1182. doi: 10.3799/dqkx.2012.125

Citation:

ZHANG Sheng-yuan, CHENG Qiu-ming, ZHANG Su-ping, XU De-yi, 2012. Improvement of Weighted Weights of Evidence and Its Applications in Sn-Cu Mineral Potential Mapping in Gejiu, Yunnan Province, China. Earth Science, 37(6): 1175-1182. doi: 10.3799/dqkx.2012.125

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Improvement of Weighted Weights of Evidence and Its Applications in Sn-Cu Mineral Potential Mapping in Gejiu, Yunnan Province, China

doi: 10.3799/dqkx.2012.125

1.
Institute of Natural Resources and Environmental Engineering, Shijiazhuang University of Economics, Shijiazhuang 050031, China
2.
State Key Laboratory of Geology Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China
3.
School of Economics and Management, China University of Geosciences, Wuhan 430074, China

Received Date: 2012-07-19
Available Online: 2021-11-09
Publish Date: 2012-06-15

Abstract

Abstract

This paper proposes a new method to estimate weighting coefficients in weighted weights of evidence (WWofE) in order to reduce the influence of correlation among evidence layers when hypothesis of conditional independence is not true. Sequential estimation method in WWofE combines WWofE and dual weights of evidence (DWofE) to gradually add evidence layers with specific sequence to WWofE model. In the process, the posterior probability obtained by former evidence layers is considered as fuzzy training layer in DWofE to correct the sequence of layers. The weighting coefficients are estimated by using conditional correlation coefficient. As a case study, a group data generated by four variable normal distribution and Sn-Cu mineral resources assessment in Gejiu, Yunan, southwestern China are used. The results show that WWofE model is effective to reduce the influence of correlations among evidence layers.
- weighted weights of evidence,
- weighing weights of evidence,
- sequential estimation method,
- mineral resources assessment,
- mathematical model,
- mathematical geology,
- ore prospecting.

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References(21)

References

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