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

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 env...

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Bibliographic Details
Published inInternational journal of machine learning and cybernetics Vol. 13; no. 3; pp. 579 - 594
Main Authors Liu, Yi, Wei, Guiwu, Liu, Haobin, Xu, Lei
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2022
Springer Nature B.V
Subjects
Artificial Intelligence
Complex Systems
Computational Intelligence
Control
Copulas
Decision making
Emergencies
Emergency medical care
Engineering
Expected utility
Fuzzy sets
Internet
Linguistics
Mechatronics
Original Article
Pattern Recognition
Preferences
Public opinion
Robotics
Systems Biology
Linguistic intuitionistic information
Extended Archimedean Copula (Co-Copula)
Emergency group decision making
Choquet integral
Information fusion
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Summary: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.
ISSN:1868-8071
1868-808X
DOI:10.1007/s13042-020-01262-9