Road Safety Evaluation Based on Analytic Hierarchy Process and Entropy Weight Method

2021 ◽  
Author(s):  
Meng Li ◽  
Hao Chen
Keyword(s):  
Analytic Hierarchy Process ◽  
Road Safety ◽  
Safety Evaluation ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Hierarchy Process

Application of Entropy-Weight Hierarchy Analysis on Study of Height Prediction of Water Conducted Zone

2013 ◽  
Vol 742 ◽  
pp. 497-500
Author(s):  
Meng Lin Xu ◽  
De Shen Zhao
Keyword(s):  
Analytic Hierarchy Process ◽  
Measurement Data ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Actual Measurement ◽  
Entropy Weight Method ◽  
Hierarchy Analysis ◽  
Height Prediction ◽  
Weight Method ◽  
Hierarchy Process

Based on actual measurement data in Da Ping as the samples,according to the experience, and ends with calculate every factors weight and height prediction of the water conducted zone by Matlab using the combination entropy-weight method and analytic hierarchy process. this paper introduces a comprehensive prediction model consisting of analytic hierarchy process and combination entropy-weight method. The method,overcoming weights imbalance,gives the evaluation result better than does the single analytic hierarchy process, it is a new valid method for scientific forecast on water conducted zone.

scholarly journals Research on maintenance method of relay protection state based on combination weight and gray relation

2022 ◽  
Vol 355 ◽  
pp. 02026
Author(s):  
Xuanhang Wang ◽  
Zhijian Liang
Keyword(s):  
Analytic Hierarchy Process ◽  
Hierarchical Structure ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Weight Calculation ◽  
The Hierarchical Structure ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.

scholarly journals Comprehensive Evaluation of AC/DC Hybrid Microgrid Planning Based on Analytic Hierarchy Process and Entropy Weight Method

2019 ◽  
Vol 9 (18) ◽  
pp. 3843 ◽  
Author(s):  
Zhao ◽  
Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Subjective Evaluation ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Hybrid Microgrid ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Hierarchy Process

The comprehensive evaluation of AC/DC hybrid microgrid planning can provide reference for the planning of AC/DC hybrid microgrids. This is conducive to the realization of reasonable and effective microgrid planning. Aiming at comprehensive evaluation of AC/DC hybrid microgrids, this paper establishes an evaluation index system for planning of AC/DC hybrid microgrids. This paper combines the subjective evaluation method with the objective evaluation method, and proposes a comprehensive evaluation method of AC/DC hybrid microgrid planning based on analytic hierarchy process and the entropy weight method. Finally, the validity and rationality of the evaluation method are verified by an example.

scholarly journals Case Studies and Evaluation of Green Mining considering Uncertainty Factors and Multiple Indicator Weights

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
J. Wang ◽  
B. Hu ◽  
J. Chang ◽  
W. P. Wang ◽  
H. L. Li
Keyword(s):  
Building Material ◽  
Measurement Theory ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Uncertainty Measurement ◽  
Entropy Weight Method ◽  
Multiple Indicator ◽  
Weight Method ◽  
Hierarchy Process

The implementation of green mining (GM) can improve the quality of economic growth. Based on uncertainty measurement theory (UMT), we aim to develop a reasonable method of green mining (GM) evaluation for building material (BM) mines via comparative analysis. At first, establish UMT evaluating model for GM. The linear uncertainty (LU) measurement function was employed to solve single indicator measure values. Then, based on the entropy weight method (EWM), the analytic hierarchy process (AHP) and a method that couples AHP and EWM (EWM-AHP), and the weights of the evaluating indicator were determined. At last, based on UMT, a total of 6 coupled methods are developed to evaluate the GM grades. The GM grades of two building material mines in China were evaluated by applying the 6 methods. Future suggestions were given to the enterprises to improve the GM grades. According to the actual situations of GM in the two building material (BM) mines, it can be speculated that UMT-EWM-AHP-CDRT is the most reasonable method. The reasonable method can not only evaluate the GM grades for BM but also provide guidance to the development of GM for BM.

Coach Evaluation Method Based on AHP

2014 ◽  
Vol 551 ◽  
pp. 722-726
Author(s):  
Xin Cao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Time Line ◽  
The Hierarchical Structure ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Time Periods ◽  
Hierarchy Process

In order to evaluate coaches, this paper established the model of comprehensive evaluation based on analytic hierarchy process (AHP). Firstly, I establish the hierarchical structure of the system; Secondly, for researching the influence of time line horizon in analysis, I divided coaches into several groups by their career time and calculated the weights of indicators of each group using entropy weight method; Finally, calculate the weight between the criteria layer and objective layer. Female coach data is difficult to find, so I select 100 college basketball male coach data. Put the data into model and get a score. The score showed the final result which can give us a sort of reasonable coach list. This model can reduce the influence of different time periods for evaluation of the coach.

scholarly journals Control Strategy Based on the Flexible Multi-State Switch for Maximum Consumption of Distributed Generations in Distribution Network

2019 ◽  
Vol 9 (14) ◽  
pp. 2871
Author(s):  
Guopeng Zhao ◽  
Jiaxing Liu ◽  
Siyuan Liu ◽  
Xinwei Zhou ◽  
Jihong Li ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Control Strategy ◽  
Distribution Network ◽  
Access Point ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Distributed Generations ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Hierarchy Process

With the aim of improving the consumption capacity of distributed generation (DG) in the distribution network, the control strategy of the flexible multi-state switch (FMSS) for the maximum consumption of distributed generation is proposed. The principle that FMSS improves the consumption capacity of distributed generation is analyzed and verified by simulation. The estimating method for the maximum accessible capacity of distributed generation at the access point is proposed. For complex systems, the multi-objective function for maximizing the consumption of distributed generation was established, and the analytic hierarchy process and entropy weight method were combined to obtain the weight factor. Then, combined with system constraints, the results can be obtained by optimization algorithms. Finally, the control strategy of FMSS for maximum consumption of distributed generation was realized and verified in a simulation.

scholarly journals Evaluation of Unit Canteen Suppliers Based on Entropy Method and Analytic Hierarchy Process

2020 ◽  
Vol 218 ◽  
pp. 03054
Author(s):  
Mian Fu ◽  
Dandan Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Indicator System ◽  
Entropy Method ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Object A ◽  
Entropy Weight Method ◽  
Countermeasures And Suggestions ◽  
Hierarchy Process ◽  
Selection Of

With the selection of canteen suppliers as the research object, a canteen supplier evaluation indicator system with four primary indicators and 15 secondary indicators is established in this paper by analyzing the key factors influencing the selection of canteen supplier. At the same time, a case study of four food suppliers of a unit canteen in Hefei, Anhui Province is conducted by comprehensive use of analytic hierarchy process (AHP) and entropy weight method, and some relevant countermeasures and suggestions are proposed.

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