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.

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.

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 high rocky slope safety through an integrated analytic hierarchy process and extension matter model

2016 ◽  
Author(s):  
H. Z. Su ◽  
M. Yang ◽  
Z. P. Wen
Keyword(s):  
Analytic Hierarchy Process ◽  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Behavior ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Rocky Slope ◽  
Matter Model ◽  
Hierarchy Process

Abstract. High rocky slope is an open complex giant system with contradiction among different influencing factors and coexistence of qualitative and quantitative information. This study presents a comprehensive intelligent evaluation method of high rocky slope safety by an integrated analytic hierarchy process, extension matter element model and entropy-weight to assess the safety behavior of the high rocky slope. The proposed intelligent evaluation integrates subjective judgments derived from the analytic hierarchy process with the extension matter model and entropy-weight into a multiple indexes dynamic safety evaluation approach. A combining subjective and objective comprehensive evaluation process, a more objective manner through avoiding subjective effects on the weights and a qualitative safety assessment and quantitative safety amount are presented in the proposed method. The detailed computational procedures were also provided to illustrate the integration process of the above methods. Safety analysis of one high rocky slope is conducted to illustrate that this approach can adequately handle the inherent imprecision and contradiction of the human decision-making process and provide the flexibility and robustness needed for the decision maker to better monitor the safety behavior of high rocky slope. This study was the first application of proposed integrated evaluation method to safety assessment of high rocky slope, which also indicated that it can also be applied to other similar problems.

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