Journal
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
Volume 31, Issue 2, Pages 359-369Publisher
SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT
DOI: 10.23919/JSEE.2020.000013
Keywords
grey information coverage; interaction effect; fuzzy integral; grey relational degree; industrial quality evaluation
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Funding
- National Natural Science Foundation of China [71871174, 71571065, 71671135]
- National Social Science Fund of China [13FGL005]
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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.
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