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基于TOPSIS法和灰色关联度的节能技术优选决策 被引量:7

Optimal Decision of Energy-saving Technologies based on TOPSIS Method and Grey Relational Degree
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摘要 针对不同节能技术的优选决策问题,建立了一套节能技术综合评价指标体系。将TOPSIS法和灰色关联理论引入节能技术的优选决策,以定量分析待评价节能技术与最优选节能技术的贴合度,并采用组合赋权的思想,将熵权法和G1法相结合来确定指标的权重,从而实现决策过程的科学化、规范化。运用该评价模型对电解铝行业的5类典型节能技术进行综合评价。实例分析表明,该评价模型不仅能对节能技术进行定量评价,而且评价鲁棒性强,评价结果更加客观、合理和全面,能够为企业节能改造或节能技术的量化评价与筛选提供有效手段,促进节能技术的高效合理应用。 Aiming at solving optimal decision problem of a number of different energy - saving technolo- gies, the paper established a comprehensive index system of energy - saving technologies. The TOPSIS method and grey relational degree theory were used to make the preferably decision of energy - saving technologies, thus it can calculate the relative closing degree between evaluated energy - saving technolo- gies and ideal energy - saving technologies, besides, the combinatorial weighting method was used, which combined entropy method and G1 scientific and objective. Then the method to determine index weight to paper used this evaluation model to make the result of evaluation more evaluate five energy -saving tech- nologies which were applied in aluminum industry. The results showed this evaluation model can not only quantitatively evaluate energy -saving technologies, but also have strong robustness, and the valuation results were more objective, reasonable and comprehensive. It can provide quantitative evaluation and se- lection tools of energy -saving technologies for energy service companies, and promote the efficient and rational application of energy - saving technology.
作者 向洁 邱泽晶
出处 《节能技术》 CAS 2017年第2期142-146,176,共6页 Energy Conservation Technology
关键词 节能技术评价 TOPSIS法 灰色关联度 组合赋权 优选决策 evaluation of energy - saving technology TOPSIS grey relational degree combinatorial weighting method optimal decision
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