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Published in: International Journal of Machine Learning and Cybernetics 3/2022

14-01-2021 | Original Article

Group decision making for internet public opinion emergency based upon linguistic intuitionistic fuzzy information

Authors: Yi Liu, Guiwu Wei, Haobin Liu, Lei Xu

Published in: International Journal of Machine Learning and Cybernetics | Issue 3/2022

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Abstract

With the wide use of network, the outbreak of network public opinion emergencies has changed from single to multiple. The goal of the current study is to construct the emergency group decision-making (EGDM) model for multiple network public opinion emergencies under the linguistic intuitionistic environment. First of all, we introduce a new version of Copula and Co-copula named extended Copula (EAC) and extended Co-Copula (EACC), respectively, which can be used to capture the relation of attributes (indexes) in the group decision making problems of network public opinion emergencies; Some special cases of EAC and EACC are gained to manage intuitionistic fuzzy information (IFI). Besides, the novel operational rules of linguisitic intuitionistic fuzzy numbers (LIFNs) based upon EAC and EACC are also defined under linguistic intuitionistic environment. What’s more, by integrating the Choquet integral and the proposed operational rules of LIFNs, the linguistic intuitionistic fuzzy Choquet-Copula aggregation operators (LIFCCA) are proposed together with their properties are also investigated; whilst, five specific forms of LIFCCA are obtained when EAC and EACC take different generators. Last but not least, an EGDM approach is constructed based upon proposed LIFCCA; Consequently, the validities and merits of the proposed EGDM approach are shown by comparing with existing approaches.

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Appendix
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Metadata
Title
Group decision making for internet public opinion emergency based upon linguistic intuitionistic fuzzy information
Authors
Yi Liu
Guiwu Wei
Haobin Liu
Lei Xu
Publication date
14-01-2021
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 3/2022
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-020-01262-9

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