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Grey information coverage interaction relational decision making and its application.

Authors :
XIAO Qinzi
SHAN Miyuan
GAO Mingyun
XIAO Xinping
Source :
Journal of Systems Engineering & Electronics. 2020, Vol. 31 Issue 2, p359-369. 11p.
Publication Year :
2020

Abstract

This study aims to reflect the information coverage grey number and the interaction between attributes in grey relational decision making. Therefore, a multi-attribute decision method based on the grey information coverage interaction relational degree (GIRD) is proposed. Firstly, this paper defines the information coverage grey number, and establishes the GIRD model by using the Choquet fuzzy integral and grey relational principle. It proves that the proposed model not only is the general and unified form of the point relational degree, interval relational degree, mixed relational degree and grey fuzzy integral relational degree, but also can effectively deal with the interaction between attributes. Further, a decision making example of evaluating the industrial operation quality for 14 cities in Hunan province of China is provided to highlight the implementation, availability, and feasibility of the proposed decision model. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*DECISION making
*FUZZY integrals

Details

Language :
English
ISSN :
10044132
Volume :
31
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Systems Engineering & Electronics
Publication Type :
Periodical
Accession number :
145192477
Full Text :
https://doi.org/10.23919/JSEE.2020.000013