A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making

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dc.cclicenceCC-BY-NCen
dc.contributor.authorSun, Qi
dc.contributor.authorWu, Jian
dc.contributor.authorChiclana, Francisco
dc.contributor.authorFujita, Hamido
dc.contributor.authorHerrera-Viedma, Enrique
dc.date.acceptance2021-02-01
dc.date.accessioned2021-02-18T11:53:58Z
dc.date.available2021-02-18T11:53:58Z
dc.date.issued2021-02-08
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
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.en
dc.funderOther external funder (please detail below)en
dc.funder.otherNational Natural Science Foundation of China (NSFC)en
dc.funder.otherInnovative Talent Training Project of Graduate Students in Shanghai Maritime University of Chinaen
dc.funder.otherSpanish State Research Agencyen
dc.identifier.citationSun, Q., Wu, J., Chiclana, F., Fujita, H., Herrera-Viedma, E. (2021) A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making. IEEE Transactions on Fuzzy Systems.en
dc.identifier.doihttps://doi.org/10.1109/tfuzz.2021.3057705
dc.identifier.issn1063-6706
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20633
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidNo.71971135, 71571166, 72071056 and 71910107002en
dc.projectidNo.2019YBR017en
dc.projectidPID2019-103880RBI00/AEI/10.13039/501100011033en
dc.publisherIEEEen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectGroup decision makingen
dc.subjectDynamic feedback mechanismen
dc.subjectAttitudinal consensus thresholden
dc.titleA dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision makingen
dc.typeArticleen

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