Evaluation Model of Urban Expressway Nodes Based on Entropy Weight and Variable Weight Model

2014 ◽  
Vol 587-589 ◽  
pp. 1817-1821
Author(s):  
Rui Li ◽  
Yi Xuan Jin ◽  
Huan Ren
Keyword(s):  
Information Entropy ◽  
Evaluation Model ◽  
Influence Factors ◽  
Evaluation Index System ◽  
Entropy Theory ◽  
Entropy Weight ◽  
Constant Weight ◽  
State Variable ◽  
Urban Expressway ◽  
Variable Weight

A new method based on information entropy theory and variable weight theory was used to evaluate urban expressway nodes in the present research. First of all, theory evaluation index system of urban expressway nodes was established on the basis of influence factors. Secondly, constant weight was established based on information entropy theory and state variable weight vectors were chosen according to the interplay of the influence factors. Thirdly, variable weight was established by using the constant weight and state variable weight vectors. Finally, the model was verified by an example. The results showed that the model based on variable weight could better evaluate the importance of urban expressway nodes and provide a theory for planning and designing urban expressway nodes.

Attribute Recognition Model Based on Entropy Weight and Its Application to Evaluation of Groundwater Quality

2010 ◽  
Vol 29-32 ◽  
pp. 2698-2702
Author(s):  
Xian Qi Zhang ◽  
Wen Hong Feng ◽  
Nan Nan Li
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Information Entropy ◽  
Simple Calculation ◽  
Weight Coefficient ◽  
Entropy Theory ◽  
Entropy Weight ◽  
Recognition Model ◽  
Model Based ◽  
Attribute Recognition

It is necessary to take into account synthetically attribute of every index because of independence and incompatibility resulted from single index evaluating outcomes. Through the information entropy theory and attribute recognition model being combined together, attribute recognition model based on entropy weight is constructed and applied to evaluating groundwater quality by a new method, weight coefficient by the law of entropy value is exercised so that it is more objective. The outcome from concrete application indicates that it is suitable to evaluate water quality with reasonable conclusion and simple calculation.

Study on Layout Planning of Transfer Hub Integration of Urban Passenger Transit

2013 ◽  
Vol 671-674 ◽  
pp. 2928-2936 ◽  
Author(s):  
Zheng Yu Wang ◽  
Wei Dong Chen ◽  
Hua Fei Jia ◽  
Chen Bing Li
Keyword(s):  
Rough Set ◽  
Attribute Reduction ◽  
Influence Factors ◽  
Optimal Solution ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Layout Planning ◽  
The Subject ◽  
Topsis Model

In the background of the integration, how to scientifically and reasonably distribute transfer hubs becomes the problem needed to be solved urgently on traffic experts. First of all, this paper gives initial selections of transfer hub layout planning; then, on the basis of analyzing the influence factors of the layout planning, the evaluation index system is built; and based on rough set attribute reduction knowledge, the cluster analysis of initial selections is done by using the SOFM neural network, drawing the suboptimal alternatives; afterwards, through the establishment of the TOPSIS model based on entropy weight, the suboptimal alternatives are further optimalized, ultimately getting the optimal solution; finally, taking the haidian district of Beijing as an example, the model and algorithm of the subject are validated.

Application of Interval Multiple Attribute Decision-Making Method to Standard Instrument Departure Procedure Design' Scheme

2013 ◽  
Vol 409-410 ◽  
pp. 1248-1252
Author(s):  
Chen Ken
Keyword(s):  
Evaluation Model ◽  
Influence Factors ◽  
Optimal Solution ◽  
Multiple Attribute Decision Making ◽  
Evaluation Index System ◽  
Air Traffic Flow Management ◽  
Standard Instrument ◽  
Multiple Attribute ◽  
Traffic Flow Management ◽  
Selection Of

The optimal selection of the standard instrument departure procedure design (SIDPD) scheme is directly related to flight safety, air traffic flow management, and efficient use of airspace of aerodrome. In practice, the selection of the SIDPDs scheme is usually based on experts knowledge and experience in order to determine the optimal solution, which has the subjectivity and arbitrariness defects. In this paper, we comprehensively study the influence factors of standard instrument departure procedure design (SIDPD) scheme and establish an optimal evaluation index system. In addition, through applying relative membership degree rule, we build an evaluation model for optimization of SIDPD based on the evaluation of each index in the form of interval number. At the end of this paper, we show the effectiveness and feasibility of this model through an example.

scholarly journals Multisource Information Risk Evaluation Technology of Mine Water Inrush Based on VWM: A Case Study of Weng’an Coal Mine

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Bo Li ◽  
Tao Li ◽  
Wenping Zhang ◽  
Zijie Liu ◽  
Lei Yang
Keyword(s):  
Information Fusion ◽  
Mine Water ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Water Inrush ◽  
Fusion Technology ◽  
Control Effect ◽  
Constant Weight ◽  
Variable Weight ◽  
Weight Model

The use of multisource information fusion technology to predict the risk of water inrush from coal floor is a research hotspot in recent years, but the current evaluation method is mainly based on a constant weight evaluation model. Using constant weights to reflect the control effect of changing factor state values on water inrush evaluation has obvious limitations, and it is unable to describe the control effect of the hydrogeological condition mutation on the water inrush from the floor. In order to solve the above problems, this manuscript introduces the idea of variable weight into the field of water inrush evaluation, expounds on the significance of variable weight theory for water inrush evaluation, analyzes the characteristics of mine water inrush variable weight evaluation, and, on this basis, further combines GIS-based multisource information fusion technology and typical engineering case to compare with the evaluation effect map, evaluation unit, and comprehensive evaluation values. The differences between the variable weight model (VWM) and the constant weight model (CWM) are analyzed, which proves that the evaluation process of the variable weight evaluation model is more reasonable and can effectively improve the evaluation accuracy.

A Variable Weight Function Model in Geological Variables Function Research

2013 ◽  
Vol 785-786 ◽  
pp. 1423-1429
Author(s):  
Wen Bo Liu ◽  
Lai Jun Liu
Keyword(s):  
Weight Function ◽  
Mineral Resources ◽  
Process Variable ◽  
Mathematics Model ◽  
Constant Weight ◽  
Connection Degree ◽  
State Variable ◽  
Variable Weight ◽  
The Status ◽  
Constant Coefficients

In mineral resources prediction and other research of geological variables, stability exactness of quantitative models concern modeling conditions, geological variables from model and the status of the variable. In traditional geological modeling process, variable support is measured under some contrains weight and this kind of weight is characterized by constant coefficients. Constant weight[1] has some limitations due to structuredness and dependency of variable. For overcoming the inflexibility of constant weight, this paper proposes geological variable mathematics model basedd state variable vector. We revise existing form of state variable weight and provide logarithm state variable vector as measurement level of geological variable weight coefficients. According to 1:200000 scale geochemistry measured data from Baishan area, we calculate the samples unit connection degree based on exponent and logarithm state variable vector and compare the connection degree based on constant weight. The connection degree sorting has the similarity as a whole among them, but there is the obvious difference locally. We can conclude that geological variable weight function based on state variable vector is more flexible and fine.

Research on Water Resources Vulnerability Evaluation Model Based on Extension Theory

2013 ◽  
Vol 726-731 ◽  
pp. 4123-4130
Author(s):  
Hai Jiao Liu ◽  
Yu Zhi Shi ◽  
Ming Yuan Fan ◽  
Ji Wen Huang ◽  
Hua Wei Chen ◽  
...  
Keyword(s):  
Water Resources ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Vulnerability Evaluation ◽  
Efficient Performance ◽  
Proposed Model ◽  
Water Resources Vulnerability

Water resources vulnerability evaluation has important significance to guide the water resources management and water ecological environment protection. This paper builds the water resources vulnerability evaluation index system from three aspects of natural, human and bearing capacity and integrates matter-element theory with entropy weight to construct the matter-element extension evaluation model of water resources vulnerability. The area of Shandong Province is selected for study, and the proposed model and evaluation index system are applied to respectively evaluates the water resources vulnerability of each city, the results show that the proposed model has a efficient performance, and water resources vulnerability evaluated is higher in whole study area and varies significantly in space, moreover, the northwestern cities are higher, on the contrary, the southeastern cities are lower.

Supplier Selection Model of College Materials Procurement

2014 ◽  
Vol 596 ◽  
pp. 1056-1059
Author(s):  
Cong Jun Rao ◽  
Lei Yu
Keyword(s):  
Supplier Selection ◽  
Decision Model ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Influence Factors ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Supplier Evaluation ◽  
Comprehensive Evaluation Model ◽  
Evaluation Decision

With the vigorous development of the our country higher education enterprise, the demand of materials and equipments also increased year by year in university, so the supplier selection is particularly important. In this paper, we select four prominent influence factors to establish a supplier evaluation index system, and then present a multi-objective fuzzy comprehensive evaluation decision model to select the supplier in the college materials procurement. Further, we highlight the implementation, availability, and feasibility of the fuzzy comprehensive evaluation model using a procurement decision example.

On the Application of Ant Colony Neural Network for the Highway Traffic Safety Facilities System

2014 ◽  
Vol 989-994 ◽  
pp. 2675-2678
Author(s):  
Guo Ling Jia ◽  
Rong Guo Ma ◽  
Ya Juan Deng
Keyword(s):  
Neural Network ◽  
Traffic Safety ◽  
Evaluation Model ◽  
Influence Factors ◽  
Highway Safety ◽  
Ant Colony ◽  
Evaluation Index System ◽  
System Evaluation ◽  
Highway Traffic ◽  
Freeway Traffic

Highway traffic safety facilities system evaluation plays an important role to relieve highway safety problem. From the perspective of system engineering, the influence factors of the current situation are comprehensively considered, the freeway traffic safety facilities system evaluation index system is established, and the application of ant colony neural network evaluation model is constructed. The purpose is to provide the beneficial references for freeway traffic safety facilities system evaluation.

scholarly journals Research on performance evaluation method of effective assets of power grid based on value engineering

2019 ◽  
Vol 118 ◽  
pp. 01056 ◽  
Author(s):  
Mianbin Wang ◽  
Xiaoxuan Niu ◽  
Lei An ◽  
Jinchao Li
Keyword(s):  
Government Regulation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Power Grid ◽  
Power Grids ◽  
Evaluation Index System ◽  
Value Engineering ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Entropy Weight Method

The effective asset of power grid is an important basis for the development of power grid enterprises and government regulation. Based on the value and functional characteristics of power grid assets, this paper establishes an evaluation index system for effective asset function of power grids. The analytic hierarchy process and entropy weight method are used to calculate the subjective and objective weights of each functional index, and the subjective and objective weights are combined by the method of squared deviation. The combined weights of the indicators are combined with the value engineering evaluation model to calculate the effective asset value coefficient, which is taken as the effective asset performance value. Finally, the relevant data of a provincial power grid enterprise for 2014-2018 is used. The established model is validated and the calculation results show that the established optimal model is feasible.

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