Synthetic judgment for mining method optimization based on fuzzy cluster analysis and analytic hierarchy process
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摘要: 以程潮鐵礦為工程背景,將采礦方法初選視為分類問題來處理,采用模糊聚類法從技術影響因素方面按照相似程度對采礦方法進行了分類初選,避免了以往采用工程類比進行初選的主觀隨意性,提高了采礦方法初選方法的科學性.在此基礎上,運用層次分析法,綜合考慮經濟、資源、效率、安全及環境等五大類因素,構建了較為全面的采礦方法選擇綜合層次評價指標體系,并得到了合理的權重矩陣,較好地解決了多因素決策時各方案評判指標出現優越性交叉時的權重分配問題.最后采用模糊綜合評判方法確定最優采礦方法.Abstract: Primary selection of mining methods was handled as a classification problem with Chengchao Iron Mine as the engineering background.Fuzzy clustering was used to make primary classification in accordance with the similarity degree of technical factors.This can decrease the subjective arbitrariness of using the engineering analog method and improve the scientific accuracy of the primary selection.In consideration of economic benefit,resource utilization,labor productivity,safety and environment factors,a comprehensive hierarchy structure of evaluation indexes for mining method optimization was built to get a reasonable weight matrix.This provides a better solution for weight distribution in multi-factor decision-making when the judging indexes of mining programs show cross superiority.Finally,the optimal mining method was selected by fuzzy comprehensive judgment.
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Key words:
- mining methods /
- optimization /
- fuzzy clustering /
- analytic hierarchy process(AHP)
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