| 基于熵权的路堑高边坡防护多目标优选研究 |
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| 引用本文： | 叶万军,王念秦,唐亦川,霍霖,曾社教.基于熵权的路堑高边坡防护多目标优选研究[J].中国地质灾害与防治学报,2008,19(1):78-81. |
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| 作者姓名： | 叶万军 王念秦 唐亦川 霍霖 曾社教 |
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| 作者单位： | 1. 西安科技大学能源学院,陕西,西安,710054;西安科技大学地质与环境工程系,陕西,西安,710054
2. 西安科技大学地质与环境工程系,陕西,西安,710054 |
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| 摘 要： | 针对影响边坡防护因素的复杂性及不确定性,充分利用地质资料、施工条件、工程经济及环境影响等综合因素,运用熵权的概念,构造了一个路堑高边坡防护方案多目标优选模型。该模型根据各方案、各指标构成的判断矩阵计算熵,并利用指标值确定其熵权。根据各方案与理想点的切近度对方安排序,从而选出最优方案。通过实例分析,证明基于熵权的路堑高边坡防护多目标优选,具有较强的识别评判能力及简便、定量严密的特点。该方法对其他综合评价工作也有一定的借鉴意义。
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| 关 键 词： | 路堑高边坡 防护 熵权 决策 边坡防护多目标优选 |
| 文章编号： | 1003-8035(2008)01-0078-04 |
| 修稿时间： | 2007年3月15日 |
Optimal selection for cutting high slope based on entropy weight multi-objection decision-making |
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| YE Wan-jun,WANG Nian-qin,TANG Yi-chuan,HUO Lin,ZENG She-jiao.Optimal selection for cutting high slope based on entropy weight multi-objection decision-making[J].The Chinese Journal of Geological Hazard and Control,2008,19(1):78-81. |
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| Authors: | YE Wan-jun WANG Nian-qin TANG Yi-chuan HUO Lin ZENG She-jiao |
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| Institution: | YE Wan-jun, WANG Nian-qin , TANG Yi-chuan , HUO Lin , ZENG She-jiao ( 1. Energy School,Xi＇ an University of Science ＆ Technology, Xi＇ an 710054, China; 2.Dept. of Geological ＆ Environmental Engineering, Xi＇an University of Science ＆ Technology Xi＇ an 710054, China) |
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| Abstract: | Based on entropy weight concept, an optimization protection plan approach for cutting high slope is set up, which considering the geological information, execution conditions, engineering economy and environmental influence, etc. The paper define the entropy of the index of evaluation by the judge-array which is made of index of all cases, and uses the entropy of the index value to define the entropy proportion. It then lines up the case by closing degree of all cases and the ideal dot. Finally, we can pick up the best case. It shows that this model can reduce the influence of subjective judgment, and decrease the errors between the objective weights and the reality. |
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| Keywords: | cutting high slope protection entropy weight decision-making multi-objected optimal selection of slope protection |
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