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Grey relational analysis on the land-sea economy in China

Grey Systems: Theory and Application, 2017
Purpose On the basis of the time series of the land area economy and marine economy data during 1996-2015, the authors study the relationship between land area economy and marine economy, and divides the relational schema of the land-sea economy by doing causality test of land-sea economy, grey correlation degree analysis and relational schema ...
Xue Jin, Kedong Yin, Xuemei Li
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Personalized Course Navigation Based on Grey Relational Analysis

Applied Intelligence, 2005
Web personalization has quickly changed from a value-added facility to a service required in presenting large quantities of information because individual users of the Internet have various needs and preferences in seeking information. This paper presents a novel personalized recommendation system with online preference analysis in a distance learning ...
Lee, Hahn-Ming   +2 more
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Application of Grey Relational Analysis for Multivariate Time Series

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
Grey relational analysis (GRA) has been widely applied in analysing multivariate time series data (MTS). It is an alternate solution to the traditional statistical limitations. GRA is employed to search for grey relational grade (GRG) which can be used to describe the relationships between the data attributes and to determine the important factors that
Roselina Sallehuddin   +2 more
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Grey relational analysis for the AQI of Beijing, Tianjin, and Shijiazhuang and related countermeasures

Grey Systems: Theory and Application, 2018
Purpose The purpose of this paper is to explore the relationship among the air quality index (AQI) of Beijing-Tianjin-Shijiazhuang region and find countermeasures to control the pollution situation. Design/methodology/approach This study used the grey convex relation model to calculate the grey correlation degree through the AQI of Beijing-Tianjin ...
Bin Fu, Xiaohui Gao, Lifeng Wu
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Forecasting integrated circuit output using multivariate grey model and grey relational analysis

Expert Systems with Applications, 2009
Integrated circuit outputs forecasts are of great economic value for both public and the private sectors in the world economy. In order to adjust policies and correct the invest portfolios; information relating to the development of the integrated circuit industry is of great importance to the governments, the policymakers, and stakeholders.
Li-Chang Hsu, Chao-Hung Wang
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Business School ranking with grey relational analysis: the case of Turkey

Grey Systems: Theory and Application, 2013
Purpose The purpose of this paper is to explore the teaching performance of Turkish Business Schools (BSs). It also aims to determine the degree of importance of factors affecting the teaching performance of Turkish BSs. The final objective is to test the functionality and applicability of the model.
AR, İLKER MURAT   +2 more
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Application of grey relational analysis for ranking material options

International Journal of Computer Applications in Technology, 2006
The choice of materials for a manufacturing enterprise is important because it will influence the product design, product performance, material and production costs, product liability and product value. This paper presents a selection methodology that applies grey relational analysis for identifying the best material option.
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Interindustry Analysis of Express Industry Based on Entropy and Grey Relational Analysis

2014 Seventh International Joint Conference on Computational Sciences and Optimization, 2014
In order to find the connection degree of express delivery of relevant industries from different angles. We calculate the express industry's association industry correlation weight and correlation respectively by introducing the information entropy and gray correlation analysis method.
Jianbin Zhang, Jinyang Zhang
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Grey Relational Analysis Models

2022
Sifeng Liu   +2 more
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Intuitionistic Fuzzy Grey Relational Analysis Sorting Technique

2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022
Ashutosh Tiwari   +2 more
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