摘要
文章提出一种基于灰色关联度分析的改进TOPSIS的评价方法,在灰色关联度评价模型基础上,根据TOPSIS评价思想对参考数列进行修正,然后根据TOPSIS方法计算评价值与最优解的相对接近程度。该方法考虑了评价对象评价值在最优解与最劣解之间的相对位置,能够更加准确地评价对象在竞争对手中的位置,帮助诊断出评价对象的薄弱环节,为改善工作提供针对性指导。
An improved TOPSIS evaluation method based on gray correlation degree analysis for work- shop production performance diagnosis is proposed. Based on the gray correlation degree evaluation model, this method improves the reference progression and calculates the relative proximity between evaluation value and optimal solution according to TOPSIS method. It takes the relative position of e- valuation value between optimum and minimum into consideration and can present a more accurate re- sult for evaluation objects to find out their competition position. Then their weakness can be diag- nosed according to the evaluation results so as to take effective method for improvement.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第7期1004-1008,共5页
Journal of Hefei University of Technology：Natural Science
关键词
性能诊断
性能评价
TOPSIS评价方法
灰色关联度
performance diagnosis
performance evaluation
Technique for Order Preference by Simi-larity to an Ideal Solution（TOPSIS） evaluation method
gray correlation degree
