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Two-Fold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation
dc.contributor.author | Wu, Jian | |
dc.contributor.author | Chiclana Parrilla, Francisco | |
dc.contributor.author | Herrera Viedma, Enrique | |
dc.date.accessioned | 2022-01-24T11:21:26Z | |
dc.date.available | 2022-01-24T11:21:26Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Published 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.uri | http://hdl.handle.net/10481/72454 | |
dc.description | This 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.abstract | A 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.sponsorship | National Natural Science Foundation of China (NSFC) 71971135 71571166 71910107002 | es_ES |
dc.description.sponsorship | Spanish Government PID2019-103880RB-I00/AEI/10.13039/501100011033 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Group decision making | es_ES |
dc.subject | Consensus | es_ES |
dc.subject | Social network | es_ES |
dc.subject | Uninorm interval trust propagation | es_ES |
dc.subject | Personalized feedback | es_ES |
dc.subject | Minimum cost | es_ES |
dc.title | Two-Fold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.type.hasVersion | AM | es_ES |