The selection of mining method is related to the economic and resource benefits of mines, and is the core of mine construction and production. The choice of mining method is a complex systematic engineering, which is featured by multiple decision factors, coexistence of certainty and uncertainty, and at the same time the traditional experience contrast method has subjective randomness. To aim at the evaluation and selection of mining methods, an information entropy and fuzzy matter element analysis method is proposed in this paper. In the process of evaluation and selection, decision factors such as mining cost, dilution rate, and loss rate are selected. the detailed steps are as follows. Firstly, the factors of selected mining methods are transformed to evaluation matrix; secondly, the weight vectors of the factors are obtained by the information entropy and fuzzy matter element analysis method; lastly, the relative closeness of all the methods are given by utilizing entropy fuzzy matter element theory. A domestic mine is taken as an example. Three mining schemes are evaluated by the proposed method in terms of, security, technology, and economic indexes. Their relative closeness are 96.18%, 81.02% and 92.18%, respectively, and the optimal method is then determined, which has better consistency with the fuzzy optimum seeking method. The new method lays a basis for the selection of mining method, and is simple, intuitive, accurate and reliable, with a high utilization of information.
CHEN Jianhong
,
DENG Weixia
. Entropy Fuzzy Matter Element Analysis Method of Mining Method Selection[J]. Science & Technology Review, 2014
, 32(2)
: 30
-33
.
DOI: 10.3981/j.issn.1000-7857.2014.2.004
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