Research on the Assessment of Disaster-Carrying Bodies’ Comprehensive Vulnerability on Variable Fuzzy Clustering

2014 ◽  
Vol 998-999 ◽  
pp. 1227-1230
Author(s):  
Jing Wang ◽  
Dong Ming Wang
Keyword(s):  
Data Processing ◽  
Fuzzy Clustering ◽  
Vulnerability Assessment ◽  
Index System ◽  
Vulnerability Index ◽  
Index Model ◽  
Disaster Vulnerability ◽  
Urban Disaster ◽  
Risk Research ◽  
The Index System

The disaster-carrying bodies’ comprehensive vulnerability is a key to the risk research of urban disaster. Vulnerability is a comprehensive attribute of the hazard-carrying bodies and is affected deeply by society, economic and environment. The index system of the vulnerability assessment is worked out with the method of variable fuzzy clustering. The comprehensive vulnerability index model is structured, and the comprehensive vulnerability is calculated in the following example. Comparative to the existing research, variable fuzzy clustering and comprehensive vulnerability index model are more objective in data processing and the influence of the clustering categories is reduced.

Research on Evaluation System of Urban Ecological Safety

2012 ◽  
Vol 468-471 ◽  
pp. 2959-2962 ◽  
Author(s):  
Yuan Dong Hu ◽  
Guan Na Fudan ◽  
Jun Lu
Keyword(s):  
Data Processing ◽  
Empirical Research ◽  
Index System ◽  
Evaluation System ◽  
Safety Evaluation ◽  
Ecological Safety ◽  
Standard Formulation ◽  
Safety Level ◽  
Research On Evaluation ◽  
The Index System

The index system of urban ecological safety evaluation includes 26 indicators. The method system of urban ecological safety evaluation include data processing, key elements definition, the calculation of urban ecological safety level and standard formulation of urban ecological safety evaluation. The paper takes city Harbin for example and makes the empirical research.

Construction and Reduction Methods of Web Spam Identification Index System

2019 ◽  
Vol 12 (3) ◽  
pp. 202-211
Author(s):  
Yuancheng Li ◽  
Rong Huang ◽  
Xiangqian Nie
Keyword(s):  
Index System ◽  
Rapid Development ◽  
Recognition Rate ◽  
Computing Power ◽  
Detection Model ◽  
Web Spam ◽  
Reduction Methods ◽  
Massive Scale ◽  
The Index System ◽  
The Web

Background: With the rapid development of the Internet, the number of web spam has increased dramatically in recent years, which has wasted search engine storage and computing power on a massive scale. To identify the web spam effectively, the content features, link features, hidden features and quality features of web page are integrated to establish the corresponding web spam identification index system. However, the index system is highly correlation dimension. Methods: An improved method of autoencoder named stacked autoencoder neural network (SAE) is used to realize the reduction of the web spam identification index system. Results: The experiment results show that our method could reduce effectively the index of web spam and significantly improves the recognition rate in the following work. Conclusion: An autoencoder based web spam indexes reduction method is proposed in this paper. The experimental results show that it greatly reduces the temporal and spatial complexity of the future web spam detection model.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

scholarly journals Urban Vulnerability Assessment for Pandemic Surveillance—The COVID-19 Case in Bogotá, Colombia

2021 ◽  
Vol 13 (6) ◽  
pp. 3402
Author(s):  
Jeisson Prieto ◽  
Rafael Malagón ◽  
Jonatan Gomez ◽  
Elizabeth León
Keyword(s):  
Vulnerability Assessment ◽  
Disease Transmission ◽  
Urban Areas ◽  
A Priori ◽  
Vulnerability Index ◽  
Past Century ◽  
Vulnerability Factors ◽  
Early Assessment ◽  
Global Citizens ◽  
Urban Vulnerability

A pandemic devastates the lives of global citizens and causes significant economic, social, and political disruption. Evidence suggests that the likelihood of pandemics has increased over the past century because of increased global travel and integration, urbanization, and changes in land use with a profound affectation of society–nature metabolism. Further, evidence concerning the urban character of the pandemic has underlined the role of cities in disease transmission. An early assessment of the severity of infection and transmissibility can help quantify the pandemic potential and prioritize surveillance to control highly vulnerable urban areas in pandemics. In this paper, an Urban Vulnerability Assessment (UVA) methodology is proposed. UVA investigates various vulnerability factors related to pandemics to assess the vulnerability in urban areas. A vulnerability index is constructed by the aggregation of multiple vulnerability factors computed on each urban area (i.e., urban density, poverty index, informal labor, transmission routes). This methodology is useful in a-priori evaluation and development of policies and programs aimed at reducing disaster risk (DRR) at different scales (i.e., addressing urban vulnerability at national, regional, and provincial scales), under diverse scenarios of resources scarcity (i.e., short and long-term actions), and for different audiences (i.e., the general public, policy-makers, international organizations). The applicability of UVA is shown by the identification of high vulnerable areas based on publicly available data where surveillance should be prioritized in the COVID-19 pandemic in Bogotá, Colombia.

Study on Prediction of the Peasants’ Income Based on SVM

2014 ◽  
Vol 687-691 ◽  
pp. 5169-5172
Author(s):  
Li Na Zhang ◽  
Bo Yang
Keyword(s):  
Social Factors ◽  
Index System ◽  
Statistical Data ◽  
Influence Factors ◽  
Prediction Method ◽  
Svm Model ◽  
The Index System ◽  
Relationship Of ◽  
System Designs ◽  
Computing Speed

China is a big agricultural country, effective prediction of peasants’ income is very important. This study mainly uses the SVM theory to predict the peasants’ income. By analyzing the influence factors of peasants’ income, establishes the index system, that is corresponding relationship of peasants’ income and factors of social influence, According to this index system, designs the prediction method of peasants’ income based on SVM. Bases on the statistical data of social factors and peasants’ income between 1990-2012 in china, to train the SVM model, at the same time, the kernel function and parameters of SVM used were setting and compared. The experimental results show that the accuracy of RBF function is 90.7%, the time is 98ms, has higher accuracy and faster computing speed.

scholarly journals The study on the index system of the smart city based on knowledge map

2020 ◽  
Vol 1656 ◽  
pp. 012015
Author(s):  
Jialu Liu ◽  
Huicong Ning ◽  
Yuanhui Bai ◽  
Tianzi Yan
Keyword(s):  
Index System ◽  
Smart City ◽  
Knowledge Map ◽  
The Index System

The Risk Analysis of New Energy Power Generation

2014 ◽  
Vol 962-965 ◽  
pp. 1787-1791
Author(s):  
Qiu Yue Li ◽  
Jie Ping Han
Keyword(s):  
Risk Factors ◽  
Energy Source ◽  
Power Generation ◽  
Risk Analysis ◽  
Index System ◽  
Environment Management ◽  
Low Level ◽  
New Energy ◽  
The Index System ◽  
Risk Degree

The new energy power generation in China has rapidly developed, and many generation companies have invested in new energy source. Some projects cannot achieve the desired results as the characters as dispersion, instability, and low level of technique. This article has established the index system of the risk degree for new energy power generation, which included the the risk degree of politics, economy, technology, environment, management. And making the analysis of the risk factors, it can provide the significant meaning of the investment for the new energy power generation companies.

scholarly journals Groundwater vulnerability assessment to pollution in Kasihan, Bantul Regency: A comparative method study (GOD, SINTACS and DRASTIC)

2020 ◽  
Vol 200 ◽  
pp. 02012
Author(s):  
Ignasius Loyola Setyawan Purnama ◽  
Vincentia Anindha Primacintya
Keyword(s):  
Groundwater Level ◽  
Vulnerability Assessment ◽  
Rock Type ◽  
Comparative Method ◽  
Groundwater Vulnerability ◽  
Vulnerability Index ◽  
Vulnerability Assessments ◽  
Drastic Method ◽  
Groundwater Vulnerability Assessment ◽  
Aquifer Type

Groundwater vulnerability to pollution refers to the ease with which pollutants reach groundwater, in other words indicating the level of ease of an area to experience pollution. At present, the theme is one of the themes that attracts many researchers because pollution is more frequent in an area. The purpose of this study is to assess groundwater vulnerability in the study area for pollution using the GOD method and conduct a study of 3 groundwater vulnerability assessments, to determine the most appropriate assessment to be applied in the study area. The method used to determine groundwater vulnerability to pollution is GOD, which uses three parameters to assess the vulnerability of groundwater, namely aquifer type, rock type above aquifer and groundwater level. Furthermore, the results of the vulnerability assessment using the GOD method are compared with the vulnerability assessment according to the SINTACS and DRASTIC methods that have been carried out before in this area. The results showed that the variation of groundwater vulnerability index values in the study area according to the GOD method was from 0.35 to 0.63. Locations that are classified as medium vulnerability are generally located in the limestone Sentolo Formation, while locations that are classified as high vulnerability class are located in the volcanic rock of Yogyakarta Formation. Noting the results of determining groundwater vulnerability from the three methods, it can be said that the three methods are suitable for assessing groundwater vulnerability in the study area. However, looking at the distribution pattern of the level of pollution, the DRASTIC method can provide more detailed results related to the level of vulnerability.

scholarly journals Research on Liquor Storage Based on Statistical Analysis Model

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Xuhua Xu
Keyword(s):  
Index System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Evaluation Index System ◽  
Classification Model ◽  
Analysis Model ◽  
The Index System ◽  
Storage Methods ◽  
Physical And Chemical

According to the physical and chemical indexes of different periods, different storage containers and different storage sites, a two overall T test was used to show that there were significant differences in physical and chemical indexes of liquor body in different detection sites. Correlation analysis of wine storage in different storage methods by Spearman correlation coefficient. By using the principal component analysis method, the comprehensive evaluation index system of the quality of the wine body was constructed, and the classification model of the detection location based on the comprehensive evaluation was established by using the index system. The detection sites were classified, and the results showed that the detection sites were divided into four grades.

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