The Impact Tendency Evaluation of Coal Mine and Rock Based on Fuzzy Clustering Method

Abstract:

Fuzzy clustering is a kind of language approximation method. It is a multivariate analysis method to classify samples based on the attribute diversity by using fuzzy mathematic method. From the diversity and complexity of impact tendency indicators of coal mine and rock, paper started with extreme value standardization and combined the classification indicators of impact tendency of coal mine and rock, then determined the fuzzy rating, membership function and weight set. Afterwards, paper established the fuzzy similar matrix by using cosine method, then transformed it into equivalent matrix, and did the fuzzy clustering analysis at last. The result shows that the method overcomes the irrationalities which made by existence of impact tendency, achieves a more accurate classification and evaluation, and provides a new method to the comprehensive evaluation of coal rock impact tendency.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 3653-3656
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.3653
• Online since: May 2014
• Authors: Lin Chao Dai*, Bo Wang, Kai Wang
• Keywords: Classification Indicator, Coal Mine, Coal Rock Impact Tendency, Fuzzy Clustering

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