Application of Entropy Weight Fuzzy Comprehensive Evaluation in Optimal Selection of Engineering Machinery

2008 ◽  
Author(s):  
Jun Yan ◽  
Tiefu Zhang ◽  
Bin Zhang ◽  
Bangjun Wu
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Optimal Selection ◽  
Entropy Weight ◽  
Selection Of

Evaluation and Optimal Selection of Diversion Tunnels Construction Simulation Schemes Based on Multi-Level Fuzzy Comprehensive Evaluation

2013 ◽  
Vol 368-370 ◽  
pp. 1361-1365
Author(s):  
Lei Bi ◽  
Bing Yu Ren ◽  
Deng Hua Zhong ◽  
Lian Xing Hu
Keyword(s):  
Comprehensive Evaluation ◽  
Composite Index ◽  
Real Life ◽  
Fuzzy Comprehensive Evaluation ◽  
Optimal Selection ◽  
Construction Simulation ◽  
Entropy Weight ◽  
Multi Objective Programming ◽  
Multi Level ◽  
Selection Of

Traditional project evaluation and optimal selection based on multi-objective programming and Delphi is highly dependent on subjective cognition, difficult to define weighted coefficient and without considering the uncertainty of the indexes. To solve these problems, this paper builds a multi-level fuzzy comprehensive evaluation model for the evaluation and optimal selection of diversion tunnels construction simulation schemes, and unites entropy weight and analytic hierarchy process (AHP) to calculate composite index weights. Through the comprehensive evaluation in a real-life diversion tunnels, this method is proved advanced and intuitive for giving objective evaluations and providing optimization suggestions for program development.

The Application of Fuzzy Comprehensive Evaluation in the Bias Cut Fabric Choice

2013 ◽  
Vol 796 ◽  
pp. 567-572 ◽  
Author(s):  
Li Jing ◽  
Chen Chao
Keyword(s):  
Mechanical Properties ◽  
Fuzzy System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Optimal Selection ◽  
Gray Correlation Degree ◽  
Correlation Degree ◽  
Gray Correlation ◽  
Selection Of

To establish the evaluation model of the garment fabric, the method of fuzzy system theory was used to value the the mechanical properties of one bias cut garment’s the fabric and improved gray correlation degree analysis was used to calculate the weight of each properties index. The subjective judgment on fabric was quantitatively processed, which further refine the complex optimal selection of fabric problem and provided a new way for the optimization of garment fabrics.

Evaluation of emergency management capability of urban community based on entropy weight and multi-layer fuzzy

2021 ◽  
pp. 1-9
Author(s):  
Wang Yuansheng ◽  
Zhang Ying ◽  
Guo Xinyao
Keyword(s):  
Emergency Management ◽  
Index System ◽  
Comprehensive Evaluation ◽  
Urban Community ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Entropy Weight ◽  
Management Capability ◽  
The World ◽  
Comprehensive Evaluation Model

At present, various public emergencies occur frequently around the world, and the world has entered the stage of a “high-risk society”. Urban community as the carrier of all kinds of public emergencies, its role has become increasingly prominent and become the focus of the current research, but in the urban community emergency management capacity evaluation system, the related studies are still less. To more effectively identify the key internal and external factors that affect the emergency management ability of the urban community, and evaluate scientifically and effectively, on the basis of the existing studies, the evaluation index system of community emergency management capability was established according to the emergency management cycle theory. In view of the complexity and fuzziness of the emergency management capability of the urban community, a multi-layer fuzzy comprehensive evaluation model based on entropy weight was established, and the emergency management capability evaluation of community was carried out under the background of the public emergency event of COVID-19 epidemic. The results show that the evaluation results and improvement suggestions of the multi-layer fuzzy comprehensive evaluation model based on entropy weight are consistent with the actual situation, indicating that the index system and the selected method are reasonable and effective. This study provides a new decision-making idea and method for the evaluation of urban community emergency management capability, and has high application value.

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