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dc.contributor.authorSun, Qi
dc.contributor.authorChiclana Parrilla, Francisco 
dc.contributor.authorFujita, Hamido 
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2022-05-25T06:20:58Z
dc.date.available2022-05-25T06:20:58Z
dc.date.issued2020
dc.identifier.citationPublished version: Q. Sun... [et al.]. "A Dynamic Feedback Mechanism With Attitudinal Consensus Threshold for Minimum Adjustment Cost in Group Decision Making," in IEEE Transactions on Fuzzy Systems, vol. 30, no. 5, pp. 1287-1301, May 2022, doi: [10.1109/TFUZZ.2021.3057705]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/74974
dc.descriptionThis work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 71971135, Grant 71571166, Grant 72071056, and Grant 71910107002, in part by the Innovative Talent Training Project of Graduate Students in Shanghai Maritime University of China under Grant 2019YBR017, and in part by the Spanish State Research Agency under Project PID2019-103880RB-I00/AEI/10.13039/501100011033.es_ES
dc.description.abstractThis article presents a theoretical framework for a dynamic feedback mechanism in group decision making (GDM) by the implementation of an attitudinal consensus threshold (ACT) to generate recommendation advice for the identified inconsistent experts with the aim to increase consensus. The novelty of the approach resides in its ability to implement the ACT continuously, which allows the covering of all possible consensus states of the group from its minimum to maximum consensus degrees. Therefore, it can be flexibly applied to GDM problems with different consistency requirements. A sensitivity analysis method with visual simulation is proposed to support the checking of the numbers of experts involved in the feedback process and the minimum adjustment cost associated with the different ACT intervals. Experimental results show that an increase in the ACT value will lead to an increase in the number of experts and adjustment cost involved in the feedback process. Eventually, a numerical example is included to simulate the feedback process under various decision making scenarios with different ACT intervals.es_ES
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC) 71971135 71571166 72071056 71910107002es_ES
dc.description.sponsorshipInnovative Talent Training Project of Graduate Students in Shanghai Maritime University of China 2019YBR017es_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.subjectDynamic feedback mechanismes_ES
dc.subjectAttitudinal consensus thresholdes_ES
dc.titleA dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision makinges_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.type.hasVersionAMes_ES


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