scholarly journals Research on Risk Measurement and Early Warning of Electronic Banking Business Based on GMDH Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hui Zeng
Keyword(s):  
Early Warning ◽  
Optimal Solution ◽  
Measurement Model ◽  
Entropy Method ◽  
Risk Measurement ◽  
Electronic Banking ◽  
Measurement Interval ◽  
Banking Business ◽  
Banking Risk ◽  
Warning Time

In order to deal with the problems of traditional e-banking risk measurement and early warning methods, such as low accuracy of e-banking risk measurement and longer early warning time, an e-banking risk measurement and early warning method based on the GMDH algorithm is proposed. This scheme mines the e-banking risk measurement and early warning indicators by the GMDH algorithm, and it will input the influencing factors and risk factors as independent variables into the GMDH modeling network and then input the e-banking business growth rate as the dependent variable into the GMDH modeling network which is standardized by the normative method of processing the e-banking business risk measurement and early warning index data. According to the processing results, it calculates the weight of the measurement and early warning index by the entropy method, and it constructs the e-banking risk measurement model with the genetic algorithm which can help to calculate the optimal solution of the parameters, formulate the risk measurement interval, and determine the risk in order to realize the risk warning of electronic banking business. The simulation results show that the proposed method has a higher accuracy of e-banking risk measurement and a shorter warning time.

scholarly journals Design and Implementation of an Early Warning System Based on the Risk Measurement Model

2021 ◽  
Vol 2031 (1) ◽  
pp. 012063
Author(s):  
Su Feng ◽  
Jing Li ◽  
Huan Wang ◽  
Qi Tang ◽  
Liqiong Liu ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Measurement Model ◽  
Risk Measurement ◽  
Design And Implementation

Real estate risk measurement and early warning based on PSO-SVM

2020 ◽  
pp. 101001
Author(s):  
Wenwen Zhou ◽  
Mengyao Chen ◽  
Zaoli Yang ◽  
Xiaobo Song
Keyword(s):  
Real Estate ◽  
Early Warning ◽  
Risk Measurement

scholarly journals Early-Warning-Time-Based Virtual Network Live Evacuation Against Disaster Threats

2020 ◽  
Vol 7 (4) ◽  
pp. 2869-2876 ◽  
Author(s):  
Ning-Hai Bao ◽  
Ming Kuang ◽  
Subhadeep Sahoo ◽  
Guo-Ping Li ◽  
Zhi-Zhong Zhang
Keyword(s):  
Early Warning ◽  
Virtual Network ◽  
Warning Time

scholarly journals Study on Early Warning Method for Water Inrush in Tunnel Based on Fine Risk Evaluation and Hierarchical Advance Forecast

Geosciences ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 392 ◽  
Author(s):  
Sheng Wang ◽  
Shucai Li ◽  
Liping Li ◽  
Shaoshuai Shi ◽  
Zongqing Zhou ◽  
...  
Keyword(s):  
Early Warning ◽  
Risk Evaluation ◽  
Water Inrush ◽  
Entropy Method ◽  
Design Stage ◽  
Tunnel Construction ◽  
Evaluation Theory ◽  
Strongly Nonlinear ◽  
Advantages And Disadvantages ◽  
And Control

Water inrush is one of the most frequent and harmful geological disasters in tunnel construction. In order to effectively prevent and control the occurrence of water inrush, an early warning method based on fine risk evaluation and hierarchical advanced forecast is proposed. Water inrush is a complex dynamic coupling factors system, the relationship between influencing factors and water inrush is strongly nonlinear. Therefore, the efficacy coefficient model, which has the advantages of standardization, conciseness, and freedom from subjective factors, is improved nonlinearly. The fine risk evaluation theory and method based on the improved efficacy coefficient model consisted of two parts: one is static evaluation used in design stage, and the other is dynamic evaluation applied in the construction stage. The index weights are determined scientifically and reasonably by Analytical Hierarchy Process (AHP) and the entropy method. According to the fine risk evaluation results, combined with the advantages and disadvantages of various forecasting methods, a multistep hierarchical detection method of disaster resources for water inrush is proposed to identify the occurrence characteristics and failure level of disaster sources. The theory has been successfully applied to the #3 inclined well of Yuelongmen Tunnel in Cheng-Lan Railway. The evaluation results had good agreement with the actual excavation data, which indicates that the model is of high credibility and feasibility. The method could improve the prediction accuracy of water inrush and explore geometric characteristics and filling of disaster-causing structures. It is of great significance for avoiding water inrush and guiding the rapid and safe tunnel construction.

Research on Index Measurement Model of Early-Warning for Listed Companies in Shipbuilding Industry

2007 ◽  
Vol 10-12 ◽  
pp. 18-22
Author(s):  
X.Z. Wei ◽  
J.M. Wu ◽  
R. Wu
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Composite Index ◽  
Warning System ◽  
Listed Companies ◽  
Measurement Model ◽  
Shipbuilding Industry ◽  
Financial Condition ◽  
Index Measurement ◽  
Individual Index

It is extremely essential to establish financial early-warning system for listed companies in Chinese shipbuilding industry. Taking “Jiangnan Shipyard (Group) Co., Ltd” of shipbuilding industry as an example, this paper testifies the validity of index measurement model of financial early-warning, monitors its recent financial condition based on individual index and composite index, and then analyzes the financial alarm degree.

scholarly journals An approach for choosing the optimal route and type of transport for freight carriage using Compromise programming

2018 ◽  
Vol 234 ◽  
pp. 06002 ◽  
Author(s):  
Svetla Stoilova
Keyword(s):  
Environmental Protection ◽  
Optimal Solution ◽  
Entropy Method ◽  
Compromise Programming ◽  
Optimal Route ◽  
Analytic Hierarchy ◽  
Expert Assessments ◽  
Hierarchy Process ◽  
Economic Criteria

This study elaborates a methodology for choosing a transport strategy based on the selection of the optimal route and type of transport. The research examines carriage by containers and includes two ways of transportation: by container block trains and by trucks. The methodology consists of three steps. The first step defines the determination of alternatives routes and criteria for assessment. Eight criteria have been studied: environmental protection; economic criteria; additional transportation fare; the duration of transportation; transhipment operations; security; reliability; stability. In the second step three approaches have been used and compared to determine the weights of the criteria: the Shannon entropy method, which is based on information from data, expert assessments by means of the Analytic hierarchy process (AHP) method and the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The third step determines the optimal solution based on the Compromise programming method. The methodology is approbated for routes from the railway and road network of Bulgaria. The results show that the criteria with the greatest impact are: the economic criteria; the duration of transportation and environmental protection. It was found out that the technologies that include rail transport are the best variant of transportation. The presented methodology could be used for choosing transportation for other destinations in the transport network.

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