| 一种基于熵权多目标决策和人工神经网络的炼油企业绩效评价方法 |
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| 引用本文： | 宋杰鲲,张在旭,张晓慧.一种基于熵权多目标决策和人工神经网络的炼油企业绩效评价方法[J].中国石油大学学报(自然科学版),2006,30(1):146-149,156. |
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| 作者姓名： | 宋杰鲲 张在旭 张晓慧 |
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| 作者单位： | 中国石油大学,经济管理学院,山东,东营,257061 |
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| 基金项目： | 教育部科学技术研究项目 |
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| 摘 要： | 提出了一种基于熵权多目标决策的逼近理想解法（TOPSIS）和人工神经网络（ANN）的炼油企业绩效评价方法，以熵权TOPSIS的企业绩效评价结果作为学习样本，对神经网络进行训练、测试，进而对指标加以赋权，最终得到了企业绩效综合评判式，并将其用于炼油企业绩效评价。实例分析结果表明，该方法科学有效、实际可行，具有一定的智能性，为炼油企业绩效评价提供了一种新的途径。
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| 关 键 词： | 炼油企业 绩效评价 熵技术 多目标决策的逼近理想解法 人工神经网络 综合评价 |
| 文章编号： | 1673-5005（2006）01-0146-04 |
| 收稿时间： | 2005-06-30 |
| 修稿时间： | 2005-06-30 |
An approach based on entropy-weighted technique for order preference by similarity to ideal solution and artificial neural network for oil refining enterprises performance evaluation |
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| SONG Jie-kun,ZHANG Zai-xu,ZHANG Xiao-hui.An approach based on entropy-weighted technique for order preference by similarity to ideal solution and artificial neural network for oil refining enterprises performance evaluation[J].Journal of China University of Petroleum,2006,30(1):146-149,156. |
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| Authors: | SONG Jie-kun ZHANG Zai-xu ZHANG Xiao-hui |
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| Affiliation: | College of Economic Administration in China University of Petroleum, Dongying 257061, China |
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| Abstract: | An approach based on entropy-weighted technique for order preference by similarity to ideal solution(TOPSIS) method and artificial neural network(ANN) was proposed for oil refining enterprises performance evaluation.Using the results of entropy-weighted TOPSIS method as learning sample to train and test the artificial neural network,the weight of performance indicator and a synthetic evaluation formula were obtained.The oil refining enterprises performance evaluation was calculated by the formula.An example testifies the efficiency,practicability and intellectual ability of the method. |
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| Keywords: | oil refining enterprises performance evaluatioh entropy technology technique for order preference by similarity to ideal solution method artificial neural network synthetic evaluation |
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