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Research on Comprehensive Assessment Model for Eco-friendly Manufacturing Enterprises Based on AHP and ANN

机译:基于AHP和ANN的环保制造企业综合评价模型研究。

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摘要

Being significant entities which influenced resource and environment, eco-friendly manufacturing enterprises should be an important part of the society. Effectual assessment system is useful to guide enterprises toward sustainable development. The comprehensive assessment system for eco-friendly manufacturing enterprises is a complicated system. The factors that influence the the degree of eco-friendliness are complicated, it is hard to describe the relation by single model due to nonlinear relationship between them. This paper innovatively proposes a comprehensive assessment model for eco-friendly manufacturing enterprises, which breaks through the limitation of conventional assessment methods. Firstly, on the basis of calculating the weight of each index by AHP, the paper calculates the eco-friendly degree comprehensive index of eco-friendly manufacturing enterprises to provide the samples for Artificial Neural Network learning. Then, it trains and tests the sample data with Neural Network technology in order to assess comprehensive eco-friendly degree of manufacturing enterprises. The effectiveness of the methodology is verified with an empirical study by using the data of listed eco-friendly manufacturing enterprises.
机译:作为影响资源和环境的重要实体,生态友好型制造企业应成为社会的重要组成部分。有效的评估系统对于指导企业实现可持续发展非常有用。环保制造企业的综合评估系统是一个复杂的系统。影响生态友好程度的因素比较复杂,由于它们之间的非线性关系,很难用单一模型来描述这种关系。本文创新性地提出了一种生态友好型生产企业的综合评估模型,突破了传统评估方法的局限性。首先,在运用层次分析法计算各指标权重的基础上,计算出生态友好型生产企业的生态友好度综合指标,为人工神经网络学习提供样本。然后,使用神经网络技术对样本数据进行训练和测试,以评估制造企业的综合环保程度。该方法的有效性通过使用上市的环保制造企业的数据进行的实证研究得到了验证。

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