The Evaluation in Fuzzy Matter-Element Theory Based on Hybrid Weight

2014 ◽  
Vol 937 ◽  
pp. 679-685
Author(s):  
Dong Yao Jia ◽  
Sheng Xiong Zou
Keyword(s):  
Evaluation System ◽  
Evaluation Process ◽  
Weight Coefficient ◽  
Entropy Method ◽  
Detection Accuracy ◽  
Analytic Hierarchy ◽  
Evaluation Theory ◽  
Effective Evaluation ◽  
Subjective Weight ◽  
Index Weight

Because the personnel quality evaluation at home and abroad is mostly too subjective, it could not satisfy the requirement for the objective and effective evaluation, the fuzzy matter-element evaluation theory and realization based on the hybrid weight is proposed in this paper. The objective weight and subjective weight is Respectively proposed using the entropy method and the analytic hierarchy process, and the hybrid weight is formed by the objective weight and subjective weight using the weight coefficient,thus the model of fuzzy matter-element evaluation theory based on hybrid weight is constructed. This method Overcomes the drawback that the evaluation index weight is too subjective, solving the problem that the qualitative indicators in the evaluation process is difficult to accurately measure and describe, the combination of subjective and objective factors affect improves the accuracy of the evaluation. The experimental results show that, the evaluation accuracy of the method for railway maintainer is more than 90% , this method effectively improves the detection accuracy compared to other methods. It provides the managers with a set of effective evaluation system and method.

The Calculating Method and Application of Weight of Evaluation of Workshop Process Layout

2014 ◽  
Vol 543-547 ◽  
pp. 4408-4411
Author(s):  
Qiang Cheng ◽  
Tian Min Guan ◽  
Li Sun ◽  
Feng Bin Jing
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Weight Coefficient ◽  
Indicator System ◽  
Entropy Method ◽  
Analytic Hierarchy ◽  
Calculating Method ◽  
Real Value ◽  
Hierarchy Process ◽  
The Evaluation System

Weight is a real value reflecting the relative importance of the evaluation object in the comprehensive evaluation. After determining the indicator system, the weight of the indicator must be divided, in order to reflect the role, status and importance of the various indicators in the evaluation system of workshop process layout, which is to determine the weight coefficient of every indicator. In this paper, using group analytic hierarchy process (GAHP) and entropy method to determine the weight of the indicator of the evaluation system of workshop process layout.

Study on Demarcation of Basic Farmland Based on GIS — A Case Study of Fogang County

2014 ◽  
Vol 1010-1012 ◽  
pp. 1312-1316
Author(s):  
Xin Xin Hou ◽  
Peng Jiao ◽  
Li Li
Keyword(s):  
Evaluation System ◽  
Entropy Method ◽  
Cultivated Land ◽  
Analytic Hierarchy ◽  
Land Protection ◽  
Technological Support ◽  
Farmland Protection ◽  
Order Preference ◽  
Regional Sustainable Development ◽  
Addition Amount

The demarcation of basic farmland scientifically is important to cultivated land protection, agriculture-economy development, and regional sustainable development. This paper took Fogang County as an example, calculated the amount of basic farmland protection and exclusion and then quantified the addition amount; established the evaluation system of farmland; used Analytic Hierarchy Process (AHP) and entropy method to determine the index weights; prioritized the selected cultivated land using GIS and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS); and then combined with the addition amount to optimize the basic farmland spatially. The study result proved that the demarcate method of basic farmland was feasible, and can provide scientific and technological support for basic farmland planning.

Comprehensive Evaluation System and Elements for Hydrocarbon Traps

2014 ◽  
Vol 962-965 ◽  
pp. 112-116
Author(s):  
Guo Min Chen ◽  
Quan Wen Liu
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Process ◽  
Evaluation Theory ◽  
Hydrocarbon Trap ◽  
Hydrocarbon Traps ◽  
Precision Trap ◽  
Comprehensive Evaluation System ◽  
Main Components

The hydrocarbon trap evaluation is theoretical guidance for the practical exploration of hydrocarbon traps, the present complicated exploration targets requires the conclusion of hydrocarbon trap evaluation more scientific and reliable so as to adapt to the requirement of high frequency, high precision trap exploration. With the guidance of system theory and modern scientific evaluation theory, modern hydrocarbon traps evaluation has already become a system engineering, which obviously characterized by the comprehensive evaluation, quantitative evaluation and comprehensive decision. In this paper the comprehensive evaluation system for hydrocarbon traps has been established, it indicated that the comprehensive evaluation tends to be a whole procedure which involves such aspects including evaluation contents, data, methods, techniques, and evaluation process specifically, so its main components includes: evaluation object characteristics, theoretical guidance, evaluation contents, methods, techniques, and database establishment. Furthermore, it emphasize closely on the analysis of the exploration objects, focus on the comprehensive geological research, supported by scientific exploration and thinking and computer technology, considered evaluation method and technology research as the key contents, and finally enable to provide reference for the modern hydrocarbon trap exploration when it appear to become increasingly complicated and subtle.

Application of Evaluation System for Low-Carbon Industrial Park by Using AHP Method

2014 ◽  
Vol 1010-1012 ◽  
pp. 1839-1843
Author(s):  
Xiu Qin Ma ◽  
Ming Huan Li ◽  
You Shan Sun ◽  
Feng Yun Jin
Keyword(s):  
Evaluation System ◽  
Weight Coefficient ◽  
Energy Utilization ◽  
Industrial Park ◽  
Low Carbon ◽  
Analytic Hierarchy ◽  
Evaluation Standard ◽  
Industrial Parks ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

By using AHP (Analytic Hierarchy Process) method, the weight coefficient of evaluation system for low-carbon industrial park has been analyzed. The structure model and model matrix have been established. Combined with specialist suggestions, using calculation equations, the scores of the weight coefficient of evaluation system have been analyzed and determined. Finally a set of allocation scheme is developed reasonably and an evaluation standard for low-carbon industrial park is finished. Energy utilization and GHG management, recycle economic and environmental protection, financial security mechanism and application of planning are chosen as the criterion layer. The standard can be used as a guide to promote the supervision of low-carbon development for industrial parks in China.

Study on Green Construction Evaluation of Highway in Seasonal Frozen Zone

2021 ◽  
Vol 14 (3) ◽  
pp. 70-86
Author(s):  
Zhenwu Shi ◽  
Zhaolin Li ◽  
Xianyu Tan ◽  
Shuxin Hua
Keyword(s):  
Evaluation System ◽  
Highway Construction ◽  
Hierarchical Cluster ◽  
Practical Significance ◽  
Green Construction ◽  
Clustering Model ◽  
Subjective Weight ◽  
Set Up ◽  
Index Weight ◽  
Principle Of Maximum

In recent years, research on highway development in the seasonal frozen region has been progressing. However, research on the evaluation system of green construction for the roads in the seasonal frozen region is still under exploration. China's seasonal frozen region accounts for more than half of its land area, and many roads traverse through it. Given the mutual relationship between highway construction and environmental impacts, it is necessary to set up an evaluation system of green construction for the roads in the seasonally frozen region to avoid more energy waste and environmental damages caused by highway construction. The authors used a hierarchical clustering method to determine the index weight, used SPSS to do clustering analysis, established a gray clustering model, and determined the evaluation rating of green construction for the roads according to the principle of maximum membership level. Hereby, this paper evaluated the highway construction from Yichun to Wudalianchi, and the result is "gold level." The result shows that hierarchical cluster analysis combines the index weight and expert weight, which can avoid shortcomings of subjective weight. Therefore, reasonable and scientific weight was obtained. Gray clustering model is suitable for the grade evaluation of green construction for seasonal frozen region's roads. It makes the development of the construction for the green road in the seasonal frozen region more accurate and to gain more practical significance.

scholarly journals A new refracturing candidate selection method for multi-fractured horizontal wells in tight oil reservoirs

2019 ◽  
Vol 16 (4) ◽  
pp. 789-800
Author(s):  
Jianchun Guo ◽  
Liang Tao ◽  
Yuxuan Liu ◽  
Na He ◽  
Xiaofeng Zhou
Keyword(s):  
Fuzzy Logic ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Horizontal Wells ◽  
Weight Coefficient ◽  
Quadrant Analysis ◽  
Reservoir Quality ◽  
Analytic Hierarchy ◽  
Parameter Evaluation ◽  
Fractured Horizontal Wells

Abstract Refracturing technology has been widely applied to increase the production rate of multi-fractured horizontal wells (MFHWs) and enhance ultimate recovery. However, due to the complicated relationships between various parameters, it is often difficult to select candidate wells for refracturing. A novel method combining analytic hierarchy process (AHP), grey relation analysis (GRA) and fuzzy logic was proposed in this study to evaluate refracturing potential of wells from reservoir quality and initial completion efficiency. First, based on the parameters of the constructed wells, several elements were chosen as appraisal factors. AHP was used to establish a multi-parameter evaluation system for refracturing treatment. Then, GRA was used to calculate the weight coefficient and sort out the main factors that influence fracturing result. Finally, GRA was coupled with fuzzy logic to determine the classification threshold of reservoir quality. A novel comprehensive evaluation score (CES) was proposed to determine the priority of the refracturing wells. The method was successfully applied to a tight oilfield in Northeast China and the optimum refracturing potential area was selected based on the reservoirs quality and completion efficiency by using quadrant analysis. Average daily oil production increased from 2.3 to 17.6 tons per day after refracturing treatment. The method can be used to identify refracturing candidates quickly and economically.

scholarly journals A Comprehensive Weight-Based Severity Evaluation Method of Voltage Sag in Distribution Networks

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6434
Author(s):  
Xiaohan Guo ◽  
Yong Li ◽  
Shaoyang Wang ◽  
Yijia Cao ◽  
Mingmin Zhang ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Distribution Networks ◽  
Entropy Method ◽  
Voltage Sag ◽  
Major Power ◽  
Analytic Hierarchy ◽  
Frequency Converters ◽  
Quality Issue ◽  
Weight Method ◽  
Index Weight

With the increasing use of sensitive loads in frequency converters and in relays in distribution networks, voltage sag has become a major power quality issue that urgently needs to be solved. For the purpose of improving the understanding of voltage sag severity in distribution networks, a comprehensive weight-based severity evaluation method of voltage sag is presented in this paper. First, a multi-side index system that takes into account the combined influence of the source, network, and the load is established. A comprehensive weight method, which combines the improved analytic hierarchy process (IAHP) and the entropy method, is then adopted to determine the index weight. The weight of each index and the degree of superiority are linearly weighted to obtain the severity of voltage sag at different observation points. Finally, the effectiveness of the proposed method is verified using a distribution network model established in DIgSILENT PowerFactory (15.1.7, Gomaringen, Germany).

Performance Evaluation of Food Cold Chain Logistics Enterprise Based on the AHP and Entropy

2021 ◽  
pp. 395-405
Author(s):  
Yazhou Xiong ◽  
Jie Zhao ◽  
Jie Lan
Keyword(s):  
Customer Service ◽  
Financial Management ◽  
Evaluation System ◽  
Process Development ◽  
Entropy Method ◽  
Cold Chain ◽  
Analytic Hierarchy ◽  
Logistics Enterprise ◽  
Logistics Enterprises ◽  
Logistics Process

This article evaluates the performance of food cold chain logistics enterprises based on the analytic hierarchy process (AHP) and entropy method. Based on the analysis of the present situation, an evaluation system of food cold chain logistics enterprises is established from four aspects, including the financial management, cold chain logistics process, development ability and customer service. The AHP method is used to determine subjective weights, and entropy method is used to get experts' own weights. Finally, a comprehensive index fusion weight is conducted. In addition, the result of an empirical analysis proved to be valid.

Performance Evaluation of Food Cold Chain Logistics Enterprise Based on the AHP and Entropy

2019 ◽  
Vol 12 (2) ◽  
pp. 57-67
Author(s):  
Yazhou Xiong ◽  
Jie Zhao ◽  
Jie Lan
Keyword(s):  
Customer Service ◽  
Financial Management ◽  
Evaluation System ◽  
Process Development ◽  
Entropy Method ◽  
Cold Chain ◽  
Analytic Hierarchy ◽  
Logistics Enterprise ◽  
Logistics Enterprises ◽  
Logistics Process

This article evaluates the performance of food cold chain logistics enterprises based on the analytic hierarchy process (AHP) and entropy method. Based on the analysis of the present situation, an evaluation system of food cold chain logistics enterprises is established from four aspects, including the financial management, cold chain logistics process, development ability and customer service. The AHP method is used to determine subjective weights, and entropy method is used to get experts' own weights. Finally, a comprehensive index fusion weight is conducted. In addition, the result of an empirical analysis proved to be valid.

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