The Cloud Model Based on Grey System Theory and Application on Effectiveness Evaluation

2013 ◽  
pp. 31-38
Author(s):  
Yanbin Shi ◽  
Hong Liu ◽  
Jian Sun
Keyword(s):  
System Theory ◽  
Cloud Model ◽  
Grey System Theory ◽  
Effectiveness Evaluation ◽  
Grey System ◽  
Model Based

An Integrative Method for the Evaluation of Network Attack Effectiveness Based on Grey System Theory

2015 ◽  
pp. 275-287
Author(s):  
Pengfei Wang ◽  
Wentao Zhao ◽  
Fan Zhang ◽  
Zimei Peng
Keyword(s):  
System Theory ◽  
Evaluation Methods ◽  
Grey System Theory ◽  
Effectiveness Evaluation ◽  
Grey System ◽  
Network Attacks ◽  
Network Attack ◽  
Significant Difference ◽  
Grey Clustering ◽  
Integrative Method

On the basis of the grey system theory, which is proposed to tackle the problems of uncertainty and missing information, an integrative method for the effectiveness evaluation of network attacks is proposed, which combines the merits of three different kinds of evaluation methods based on Grey-Clustering Analysis (GCA). Particularly, the proposed method provides a solution to the problem of accuracy drop seen in prevailing grey evaluation methods when the clustering coefficients exhibit no significant difference. With low time complexity, the proposed method performs well in the effectiveness evaluation of network attacks. Simulation results on suitable DDoS scenarios demonstrate the feasibility and power of the method.

Forest fire spread model based on the grey system theory

2018 ◽  
Vol 76 (5) ◽  
pp. 3602-3614 ◽  
Author(s):  
Chundong Lv ◽  
Jia Wang ◽  
Fanfei Zhang
Keyword(s):  
System Theory ◽  
Forest Fire ◽  
Fire Spread ◽  
Grey System Theory ◽  
Grey System ◽  
Model Based ◽  
Spread Model ◽  
Fire Spread Model

The Prediction for Sewage Emissions in Xi'an Based on the Theory of Grey System

2014 ◽  
Vol 1079-1080 ◽  
pp. 539-542
Author(s):  
Wei Sun ◽  
Xiao Jun Liu
Keyword(s):  
Water Pollution ◽  
System Theory ◽  
Water Scarcity ◽  
Industrial Wastewater ◽  
Domestic Sewage ◽  
Grey System Theory ◽  
Basic Data ◽  
Grey System ◽  
Model Based ◽  
Discharge Volume

The water pollution and water scarcity have restricted the development of economy seriously in Xi'an. And the wastewater quantity is an important basic data in solving this problem. This paper build GM(1,1) model based on grey system theory to predict the discharge volume of urban domestic sewage and industrial wastewater from 2013 to 2020. The predictions suggest that the discharge amount of industrial wastewater will reduce by 6.7005 million tons per year. While the amount of domestic sewage increases year by year at the speed of 11.0989 million tons. The percentage of domestic sewage in total sewage emissions will get bigger in Xi'an. Additionally, some suggestion about improving the efficiency using of water and reducing sewerage discharged are given.

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

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