Twofold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation

dc.cclicenceCC-BY-NCen
dc.contributor.authorWu, Jian
dc.contributor.authorWang, Sha
dc.contributor.authorChiclana, Francisco
dc.contributor.authorHerrera-Viedma, Enrique
dc.date.acceptance2021-04-24
dc.date.accessioned2021-04-28T14:58:45Z
dc.date.available2021-04-28T14:58:45Z
dc.date.issued2021-04
dc.descriptionThe file attached to this record is the author's final peer reviewed version.en
dc.description.abstractA twofold personalized feedback mechanism is established for consensus reaching in social network group decision making (SN-GDM). It consists of two stages: (1) generating the trusted recommendation advice for individuals; and (2) producing personalized adoption coefficient for reducing unnecessary adjustment costs. This is achieved by means of a uninorm interval-valued trust propagation operator to obtain indirect trust. The trust relationship is used to generate personalized recommendation advice based on the principle of ‘a recommendation being more acceptable the higher the level of trust it derives from’. An optimization model is built to minimise the total adjustment cost of reaching consensus by determining personalized feedback adoption coefficient based on individuals’ consensus levels. Consequently, the proposed twofold personalized feedback mechanism achieves a balance between group consensus and individual personality. An example to demonstrate how the proposed twofold personalized feedback mechanism works is included, which is also used to show its rationality by comparison with the traditional feedback mechanism in GDM.en
dc.funderOther external funder (please detail below)en
dc.funder.otherNational Natural Science Foundation of China (NSFC)en
dc.funder.otherSpanish State Research Agencyen
dc.identifier.citationWu, J., Wang, S., Chiclana, F., Herrera-Viedma, E. (2021) Twofold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation. IEEE Transactions on Cybernetics.en
dc.identifier.doihttps://doi.org/10.1109/tcyb.2021.3076420
dc.identifier.issn2168-2267
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20808
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidNo. 71971135, 71571166 and 71910107002en
dc.projectidPID2019-103880RBI00/AEI/10.13039/501100011033en
dc.publisherIEEEXploreen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectGroup decision makingen
dc.subjectConsensusen
dc.subjectSocial networken
dc.subjectUninorm interval trust propagationen
dc.subjectPersonalized feedbacken
dc.subjectMinimum costen
dc.titleTwofold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagationen
dc.typeArticleen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
CYB-E-2020-05-1263R1.pdf
Size:
6.1 MB
Format:
Adobe Portable Document Format
Description:
Author's copy of accepted paper
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.2 KB
Format:
Item-specific license agreed upon to submission
Description: