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Research on Hybrid Multi-Attribute Decision-Making

Authors: Guidong Sun; Xin Guan;

Research on Hybrid Multi-Attribute Decision-Making

Abstract

Multiple attribute decision-making method based ongrey incidence for hybrid multiple attribute decision-making problems with real number, interval number, triangular fuzzy number, intuitionistic fuzzy number and uncertain linguistic variables is proposed. It analyzes the measurement among the hybrid multiple attribute information and discuses the transform between every two attributes firstly, which unifies the hybrid attribute into the interval attribute frame, making the measurement among the hybrid multiple attribute information reality. Then close degree is calculated based on interval multiple attribute grey incidence decision making theory and selecting the best solution of the interval attribute transformed by other hybrid multiple attribute according to the order of the close degree. Finally combined with the decision making of the degree of weapon threatening shows that the practicability of the proposed hybrid multiple attribute decision-making method.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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