Show simple item record

dc.contributor.authorWu, Jian
dc.contributor.authorChiclana Parrilla, Francisco 
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2022-01-24T11:21:26Z
dc.date.available2022-01-24T11:21:26Z
dc.date.issued2021
dc.identifier.citationPublished version: J. Wu... [et al.], "Two-Fold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation," in IEEE Transactions on Cybernetics, doi: [10.1109/TCYB.2021.3076420]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/72454
dc.descriptionThis work was supported by the National Natural Science Foundation of China (NSFC) under Grant 71971135, Grant 71571166, and Grant 71910107002; and in part by the Spanish State Research Agency under Project PID2019-103880RB-I00/AEI/10.13039/501100011033. This article was recommended by Associate Editor F. J. Cabrerizo.es_ES
dc.description.abstractA twofold personalized feedback mechanism is established for consensus reaching in social network group decisionmaking (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.es_ES
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC) 71971135 71571166 71910107002es_ES
dc.description.sponsorshipSpanish Government PID2019-103880RB-I00/AEI/10.13039/501100011033es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectGroup decision makinges_ES
dc.subjectConsensuses_ES
dc.subjectSocial networkes_ES
dc.subjectUninorm interval trust propagationes_ES
dc.subjectPersonalized feedbackes_ES
dc.subjectMinimum costes_ES
dc.titleTwo-Fold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES


Files in this item

[PDF]

This item appears in the following Collection(s)

Show simple item record

Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España