基于模糊层次群熵的订单重要度评价

2011年 24卷 第No.3期
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The Order Importance Degree Evaluation Based on Fuzzy Hierarchy Group Entropy
1.大连理工大学,2.大连交通大学

1. Dalian University of Technology, Dalian Liaoning 116024, P.R.China; 2. Dalian Jiaotong University, Dalian Liaoning 116028, P.R.China

关键词: 熵 , AHP , 群决策 , 模糊数学 , 订单重要度
Hierarchical evaluation index system model was established for order important degree, order important degree evaluation method was put forward based on fuzzy hierarchy group entropy. In this method, in view of the first appraisal criterion levels weight, participating score experts weight equally and not the equal question, uses more succinct group eigenvalue method(GEM)and relative entropy model(REM) separately carries on the computation. The information content of target data in the evaluating indicator system was measured to confirm the weight of different plan. The dimension value of stationary index was effective transformed by using fuzzy mathematics. The application example has proven this method validity solving the appraisal problem in the order importance degree evaluation.
熵 ; AHP ; 群决策 ; 模糊数学 ; 订单重要度;
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国家自然科学基金项目(70772086, 51005029);国家社会科学基金项目(09BJY055)
10.3696/j.issn.1006-396X.2011.03.021