ANP-based fuzzy matter-element model for Gas Enterprise Risk Assessment

2011 ◽  
Author(s):  
Jian-ping Jin
Keyword(s):  
Risk Assessment ◽  
Element Model ◽  
Enterprise Risk ◽  
Matter Element Model

A WebGIS-Based System for Urban Stormwater Risk Analysis Using a Cloud Matter-Element Model

2020 ◽  
Vol 16 (3) ◽  
pp. 80-99
Author(s):  
Junfei Chen ◽  
Cong Yu
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Temporal Distribution ◽  
Element Model ◽  
Economic Loss ◽  
Risk Level ◽  
Urban Stormwater ◽  
Intelligence System ◽  
Prototype Development ◽  
Matter Element Model

The interaction of human activity, climate change, and urbanization gives rise to more frequent urban stormwater disasters, which causes great economic loss in cities. This article presents a prototype of an interactive WebGIS system for urban stormwater risk analysis. The system has a Browse/Server(B/S) structure and uses WebGIS techniques for prototype development. It is based on the theory of disaster system and Cloud matter-element model for risk assessment. The risk results are immediately generated and visualized interactively by rendering risk maps. Finally, two urban stormwater events in Nanjing in 2015 and 2016 were selected to verify the accuracy of the risk assessment. The results show that the intelligence system can effectively assess the risk level and identify the spatial-temporal distribution of urban stormwater risk in Nanjing, China.

Application of Extension Theory Based on Optimal Combination Weighting Method in Risk Assessment on Geological Hazards

2012 ◽  
Vol 226-228 ◽  
pp. 2284-2291
Author(s):  
Xia Lin Wang ◽  
Bao Wen Yan
Keyword(s):  
Risk Assessment ◽  
Element Model ◽  
Entropy Method ◽  
Optimal Combination ◽  
Extension Theory ◽  
Geological Hazards ◽  
Weighting Method ◽  
Relational Degree ◽  
Matter Element Model ◽  
Combination Weighting Method

Risk assessment on geological hazards and zoning is the foundation of geological hazards prevention. To solve the problem of uncertainty and incompatibility between quantitative and qualitative indicators, and the deficiencies of the indexes weight method, this paper establishes the model for risk assessment on geological hazards binding the extension theory with the optimal combination weighting method. With the matter-element model of the extension theory, the weight coefficients are calculated by using the optimal combination weighting method that can effectively use the experience of expert judgement and accurately reflect the utility value of the data, and can properly resolve the problem of weight allocation. Then, through calculating the correlation function value and relational degree, determine the actual geological hazard grades of study area. Finally, this paper applies this model in Hanyin County of Shannxi Province and gets the predicting results compared with AHP method and entropy method, and the results conform to the fact. It is proved that extension theory based on optimal combination weighting method is quite effective and available in risk assessment on geological hazards.

Cost Risk Assessment of Construction Projects Based on Entropy-Weighted Matter-Element Model

2010 ◽  
Vol 168-170 ◽  
pp. 2402-2405 ◽  
Author(s):  
Ming Hui Xie ◽  
Ying Yang
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Construction Projects ◽  
Element Model ◽  
Construction Enterprises ◽  
Entropy Weighted ◽  
Matter Element Model ◽  
Cost Risk

As modern projects are getting increasingly complicated in the changeable environment, the risk in cost faced by construction enterprises increase. Therefore it is necessary to analyze all sorts of cost risks to guide decision-making. A entropy-weighted matter-element model for assessment of cost risk is established in the article, and an example is used to explain that the model makes a good application.

Risk Assessment of Power Transformer Life Cycle Cost Based on Extensible Matter-Element Model

2014 ◽  
Vol 644-650 ◽  
pp. 3538-3541
Author(s):  
Guo Hua Qiao ◽  
Xiang Jun Guo ◽  
Lan Min Wu ◽  
Hong Liang Liu ◽  
Zheng Ren ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Cost Management ◽  
Power Transformer ◽  
Control Strategies ◽  
Element Model ◽  
Assessment System ◽  
Matter Element Model

Making assessment of risk factors of power transformer life cycle cost modeling is an important mean of improving the scientificity of transformer life cycle cost management. Considering the risk factors of transformer life cycle cost, this paper presents risk assessment index system of transformer life cycle cost, applying matter-element model and extension analysis theory to quantify the qualitative indexes in order to assess the risk. Combined with an example, the paper quantifies the uncertain factors of power transformer life cycle cost management in order to build the life cycle cost risk assessment system. It realizes the risk rating of the transformer cost assessment, getting the key risk factors which affect transformer cost so that we can put forward targeted control strategies according to various risk factors in practical engineering.

scholarly journals Research on Security Risk Assessment Mechanism of Important Event Based on Multi-Source Data

2021 ◽  
Author(s):  
Qilei Wang
Keyword(s):  
Risk Assessment ◽  
Element Model ◽  
Assessment System ◽  
Assessment Model ◽  
Qualitative Description ◽  
Security Risk ◽  
Site Factors ◽  
Source Data ◽  
Risk Grade ◽  
Matter Element Model

Abstract In order to effectively assess all types of security risks in the important event, the important decision-making basis for security risk warning and emergency management of important event is provided by analyzing the coupling relationship and evolution mechanism between various risks. The criminal causes, management defects, security and emergency system construction are analyzed from the possibility of accidents and risks. The multi-source data risk assessment system based on five subsystems and its index set of human factors, management factors, site factors, event factors and audit factors are proposed. The weight of each index in the assessment system is determined by the method of information entropy, and then the risk grade of important event is determined according to the weight calculation function and the improved fuzzy matter element model. The verification with an example shows that: the risk assessment model is optimized by combining entropy weight with fuzzy matter-element model，the influence of weight data extreme value was weakened，the qualitative description and quantitative analysis of multi-source data could be combined，and the subjective error was reduced. The risk grade of important event is reasonably evaluated, and the assessment effect is basically consistent with the expert inspection analysis, which shows that the method had certain application value.

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