Paper Title:
Application of Projection Pursuit Clustering Method in the Evaluation of Coal Mine Safety
  Abstract

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
Chapter
Chapter 8: Frontiers of Construction Information
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, Q. K. Song, J. E. Liu, "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
$32.00
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