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Gray clustering model based on the degree of dynamic weighted incidence for panel data and its application

Gray clustering model based on the degree of dynamic weighted incidence for panel data and its... The paper aims to propose a clustering model for panel data. More specifically, the paper aims to construct a gray incidence model for panel data to solve the classification with multi-factors and multi-attributes.Design/methodology/approachThe paper opted for a clustering theory study using gray incidence theory based on dynamic weighted function. The paper presents an example to verify the rationality of the new model, which suggests that the new model can reflect the incidence degree of panel data.FindingsThe paper provides a new gray incidence model based on a dynamic weighted function that can amplify the characteristics of the sample to some extent. The properties of the new incidence model, such as normalization, symmetry and nearness, are all satisfied. The paper also shows that the new incidence model performs very well on cluster discrimination.Originality/valueThe new model in this paper has supplemented and improved the gray incidence analysis theory for panel data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Grey Systems: Theory and Application Emerald Publishing

Gray clustering model based on the degree of dynamic weighted incidence for panel data and its application

Grey Systems: Theory and Application , Volume 10 (4): 11 – Oct 16, 2020

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2043-9377
DOI
10.1108/gs-09-2019-0040
Publisher site
See Article on Publisher Site

Abstract

The paper aims to propose a clustering model for panel data. More specifically, the paper aims to construct a gray incidence model for panel data to solve the classification with multi-factors and multi-attributes.Design/methodology/approachThe paper opted for a clustering theory study using gray incidence theory based on dynamic weighted function. The paper presents an example to verify the rationality of the new model, which suggests that the new model can reflect the incidence degree of panel data.FindingsThe paper provides a new gray incidence model based on a dynamic weighted function that can amplify the characteristics of the sample to some extent. The properties of the new incidence model, such as normalization, symmetry and nearness, are all satisfied. The paper also shows that the new incidence model performs very well on cluster discrimination.Originality/valueThe new model in this paper has supplemented and improved the gray incidence analysis theory for panel data.

Journal

Grey Systems: Theory and ApplicationEmerald Publishing

Published: Oct 16, 2020

Keywords: The incidence model; The gray system; Dynamic weighted function; Panel data; The clustering model; The evaluation of water quality

References