Grey Target Decision Model based on Interval Grey Number Type Panel Data and its Application.

Saved in:

Bibliographic Details
Title:	Grey Target Decision Model based on Interval Grey Number Type Panel Data and its Application.
Authors:	Wuvong Qian¹ qianyijiaemail@l63.coin, Xin Yang¹, Jialing Li¹
Source:	Journal of Grey System. 2018, Vol. 30 Issue 1, p69-80. 12p.
Subjects:	Gray forecasting model, Decision making, Aggregation (Statistics), Statistics, Mathematical models of decision making
Abstract:	Grey target decision-making, as an important part of grey system theory, has been successfully applied to many fields, such as economy, management and social production practice. The traditional grey target decision-making method is an effective way to deal with multi index static problems. However, with the complexity of the environment, more and more multi index dynamic problems have appeared in practice. As the cross section data is a two-dimensional structure, it can not contain multi-index, multi-scheme and multi-cycle information simultaneously, so there is a panel data with a three-dimensional structure. It is necessary to build a novel grey target decision model based on interval grey number panel data for multi index dynamic problems. Based on this, firstly, the cross sectional information aggregation method based on sectorial area, and the time point information aggregation method based on trend of index variation are proposed, respectively. Secondly, the static and dynamic grey target decision model are constructed to get the static and dynamic target distance, respectively. And then, through the gathering function to synthesize two kinds of target distance. Finally, an example is used to illustrate its feasibility and effectiveness. Results show that the proposed model not only provides a support for multi index dynamic decision, but also extends the application space of grey target decision model. [ABSTRACT FROM AUTHOR]
	Copyright of Journal of Grey System is the property of Research Information Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	Grey target decision-making, as an important part of grey system theory, has been successfully applied to many fields, such as economy, management and social production practice. The traditional grey target decision-making method is an effective way to deal with multi index static problems. However, with the complexity of the environment, more and more multi index dynamic problems have appeared in practice. As the cross section data is a two-dimensional structure, it can not contain multi-index, multi-scheme and multi-cycle information simultaneously, so there is a panel data with a three-dimensional structure. It is necessary to build a novel grey target decision model based on interval grey number panel data for multi index dynamic problems. Based on this, firstly, the cross sectional information aggregation method based on sectorial area, and the time point information aggregation method based on trend of index variation are proposed, respectively. Secondly, the static and dynamic grey target decision model are constructed to get the static and dynamic target distance, respectively. And then, through the gathering function to synthesize two kinds of target distance. Finally, an example is used to illustrate its feasibility and effectiveness. Results show that the proposed model not only provides a support for multi index dynamic decision, but also extends the application space of grey target decision model. [ABSTRACT FROM AUTHOR]
ISSN:	09573720