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Vol. 159, Issue 11, November 2013, pp. 179-184




Water Inrush Source Identification of Mine Based on D-S Evidence Theory
Jianyu Xiao, Aili Yang

School of Computer Science and Technology, Huaibei Normal University, Huaibei 235000, China
Tel.: +86-561-3803659
E-mail: xy_xiao@163.com


Received: 23 August 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: Using the D-S evidence theory, according to the chemical analysis of the aquifer water in underground shafts, and selecting 6 kinds of ion concentration as the discriminate indexes for the identification of water inrush source, the model of water inrush source identification of mine was established. Firstly, according to 35 groups of sample data of the main aquifer in Jiaozuo mining area, China, the triangular fuzzy number described model of single element proposition was constructed by determination of the minimum, average and maximum values of sample data. And the generalized triangular fuzzy number described model of multi-element proposition was represented by the crossing area of the triangular fuzzy number described models of single element proposition. Then, the supporting degree of proposition was determined according to the generalized triangle membership function and the basic probability assignment of proposition can be obtained by the normalization of the supporting degree. Finally, the basic probability assignments were fused by the Dempster's combination rule. The experiment results show that the identification model based on D-S evidence theory has good classification performance, high prediction accuracy, and wide application prospect.


Keywords: Information fusion, Evidence theory, Basic probability assignment, Water inrush in mine, Water source identification.



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