Grey System Theory application in model selection of channel modeling at 1.4 GHz

2016 ◽  
Author(s):  
Changzhen Li ◽  
Junyi Yu ◽  
Kun Yang ◽  
Wei Chen
Keyword(s):  
System Theory ◽  
Model Selection ◽  
Channel Modeling ◽  
Grey System Theory ◽  
Grey System ◽  
Theory Application ◽  
Selection Of

scholarly journals The concept of the qualitology and grey system theory application in marketing information quality cognition and assessment

2019 ◽  
Vol 28 (2) ◽  
pp. 817-840 ◽  
Author(s):  
Majchrzak Joanna ◽  
Goliński Marek ◽  
Mantura Władysław
Keyword(s):  
System Theory ◽  
Information Quality ◽  
Grey System Theory ◽  
Grey System ◽  
Theory Application ◽  
Marketing Information

A grey-based assessment approach to the site selection of a desalination plant in Libya

2018 ◽  
Vol 8 (3) ◽  
pp. 366-379 ◽  
Author(s):  
Ibrahim A. Badi ◽  
Ali M. Abdulshahed ◽  
Ali Shetwan ◽  
Mohamed Ali Ballem
Keyword(s):  
System Theory ◽  
Site Selection ◽  
Grey System Theory ◽  
Grey Model ◽  
Grey System ◽  
Project Schedule ◽  
Content Type ◽  
Desalination Plant ◽  
A Site ◽  
Selection Of

Purpose The purpose of this paper is to propose a site selection method using grey system theory for a desalination plant in Libya. Design/methodology/approach In order to tackle incompleteness and imprecision of human’s judgments, grey numbers were used. This work uses a grey-based approach to represent decision makers’ comparison judgments and extent analysis method to select the best site. Therefore, a real case study of a selection problem of a site selection of desalination plant in Libya was used to illustrate the proposed approach. Findings Site selection in a desalination plant can be one of the most important decisions in planning a desalination project. The decision affects both the project cost and potentially the project schedule. Based on the results of grey model, a clear order of these sites and the degree of preference are obtained. This paper presents a way to improve a site selection by using a grey model, especially in a complex environment like Libya. Originality/value To the best knowledge of the authors, there is no literature for site selection using grey system theory in a desalination plant in Libya. This attempt may well enhance and facilitate the decision-making process of the best site in the country involved in this research.

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).

A forecasting model for bacterial disease of cage cultured large yellow croaker(Pseudosciaena crocea)based on grey system theory

2013 ◽  
Vol 37 (6) ◽  
pp. 920 ◽  
Author(s):  
M bokigwe Kibona Owen ◽  
Haier NI ◽  
Guoliang WANG ◽  
Xiongfei WU
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Forecasting Model ◽  
Large Yellow Croaker ◽  
Bacterial Disease ◽  
Pseudosciaena Crocea ◽  
Grey System

Application of Grey System Theory to tree growth prediction

2000 ◽  
Vol 11 (1) ◽  
pp. 34-36 ◽  
Author(s):  
Wang Jing ◽  
Hou Yuesong ◽  
Li Weilin ◽  
Cheng Wenhui
Keyword(s):  
System Theory ◽  
Tree Growth ◽  
Grey System Theory ◽  
Grey System ◽  
Growth Prediction

Grey-based model for forecasting Mauritius international tourism from different regions

2017 ◽  
Vol 7 (2) ◽  
pp. 259-271 ◽  
Author(s):  
Medha Pirthee
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
International Tourism ◽  
Grey System ◽  
Private Companies ◽  
Content Type ◽  
System Models ◽  
Economic Decision Making ◽  
Tourism Sector ◽  
The Government

Purpose The purpose of this paper is to understand the trend and forecast the number of tourists from different regions of the world to Mauritius. Design/methodology/approach The paper adopts two grey system models, the even model GM(1,1) and the non-homogeneous discrete grey model (NDGM), to forecast the total number of international tourism to Mauritius and its structure from different regions tourist arrivals to Mauritius for the next three years. Grey system theory models were used to account for uncertainties and the dynamism of the tourism sector environment. The two models were applied as a comparison to obtain more reliable forecasting figures. Findings The results demonstrate that both of the grey system models can be successfully applied with high accuracy for Mauritian tourism prediction, and also the number of tourist arrivals to Mauritius shows a continued augmentation for the upcoming years. Practical implications Forecasting is meaningful since the Government of Mauritius, private companies or any concerned authority can adopt the forecasting methods exposed in this paper for the development of the tourism sector through managerial and economic decision making. Originality/value Mauritius is a charming travel destination. Through this paper, it can be seen that future tourism travel to Mauritius has been successfully predicted based on previous data. Moreover, it seems that the grey system theory models have not been utilised yet as forecasting tools for the tourism sector of Mauritius as opposed to other countries such as China and Taiwan.

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