首页> 外文会议>2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)论文集 >ENVIRONMENTAL QUALITY COMPREHENSIVE EVALUATION OF TAILING RESERVOIR BASED ON INFORMATION ENTROPY AND FUZZY MATHEMATICS
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ENVIRONMENTAL QUALITY COMPREHENSIVE EVALUATION OF TAILING RESERVOIR BASED ON INFORMATION ENTROPY AND FUZZY MATHEMATICS

机译:基于信息熵和模糊数学的尾矿库环境质量综合评价

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The environment of tailing reservoir greatly affects the environment around it In this paper, a fuzzy analytic hierarchy process model is established to evaluate the environmental quality of tailing reservoir. By using of information entropy, a new weight calculation method which can evaluate the quality of information given by evaluation specialists is given, to amend the index subjective weight given by specialists through analytic hierarchy process. The expert scoring method is used to express the environmental quality of each evaluation index, finally the environmental quality situation of tailing reservoir is gained. A case study indicates that the environmental quality comprehensive evaluation model based on information entropy and fuzzy mathematics could deal with the uncertainty in the analytic process, the evaluation results are scientific and rational, thus a new way is provided to research on the environmental quality comprehensive evaluation of tailing reservoir.
机译:尾矿库的环境对周围环境影响很大。本文建立了模糊层次分析模型,对尾矿库的环境质量进行了评价。利用信息熵,提出了一种新的权重计算方法,可以评估评价专家给出的信息质量,通过层次分析法修正专家给出的指标主观加权。采用专家评分法表达各评价指标的环境质量,最终得出尾矿库环境质量状况。实例研究表明,基于信息熵和模糊数学的环境质量综合评价模型可以解决分析过程中的不确定性,评价结果科学合理,为研究环境质量综合评价提供了一种新途径。尾矿库。

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