Application of Projection Pursuit Clustering Method in the Evaluation of Coal Mine Safety

Abstract:

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An effective and general model — projection pursuit clustering model is proposed in this paper. It can solve the incompatible problems of indexes of safety evaluation,which are uncertain,fuzzy and complex. At the same time, it improves the recognition rate of the coal mine safety evaluation model. It uses genetic algorithms to find optimal solutions for the model, the information of which can be used to research the influence of all the indexes on the evaluation of coal mine safety. The paper clusters the safety level of each coal mine according to each projection value, which provides the objective basis for decision-making of the evaluation of coal mine safety. This paper combining with the example demonstrates operation process. It also proves the method is scientific and feasible, which is of significance of coal mine safety evaluation.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4868-4871

DOI:

10.4028/www.scientific.net/AMM.71-78.4868

Citation:

Z. L. Guo et al., "Application of Projection Pursuit Clustering Method in the Evaluation of Coal Mine Safety", Applied Mechanics and Materials, Vols. 71-78, pp. 4868-4871, 2011

Online since:

July 2011

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Price:

$35.00

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