Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information

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dc.cclicenceCC-BY-NC-NDen
dc.contributor.authorLiu, Yatingen
dc.contributor.authorDong, Yuchengen
dc.contributor.authorLiang, Haimingen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.acceptance2018-10-02en
dc.date.accessioned2018-10-24T09:38:15Z
dc.date.available2018-10-24T09:38:15Z
dc.date.issued2018-10-26
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.abstractIn multiple attribute decision making (MADM), strategic weight manipulation is understood as a deliberate manipulation of attribute weights setting to achieve a desired ranking of alternatives. In this paper, we study the strategic weight manipulation in a group decision making context with interval attribute weights information. In group decision making, the revision of the decision makers’ original attribute weights information implies a cost (the difference between the original information and the revised one). Driven by a desire to minimize the cost, we propose the minimum cost strategic weight manipulation model, which is achieved via optimization approaches, with the 0-1 mixed linear programming model being proved appropriate in this context. Meanwhile, some desired properties to manipulate a strategic attribute weight based on the ranking range under interval attribute weights information are proposed. Finally, numerical analysis and simulation experiments are provided with a two-fold aim: (1) to verify the validity of the proposed models, and (2) to show the effects of interval attribute weights information and the unit cost, respectively, on the cost to manipulate strategic weights in the MADM in a group decision context.en
dc.funderThis work was supported by the grant (No.71571124) from NSF of China, the grant (No.sksyl201705) from “funded by Sichuan University”, and the grant (No. TIN2016-75850-R) from the FEDER funds.en
dc.identifier.citationLiu, Y., Dong, Y., Liang, H., Chiclana, F., Herrera-Viedma, E. (2018) Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information. IEEE Transactions on Systems, Man and Cybernetics: Systems, 49 (10), pp. 1981-1922en
dc.identifier.doihttps://doi.org/10.1109/TSMC.2018.2874942
dc.identifier.issn2168-2216
dc.identifier.urihttp://hdl.handle.net/2086/16818
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidThis work was supported by the grant (No.71571124) from NSF of China, the grant (No.sksyl201705) from “funded by Sichuan University”, and the grant (No. TIN2016-75850-R) from the FEDER funds.en
dc.publisherIEEEen
dc.researchgroupInstitute of Artificial Intelligence (IAI)en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectmultiple attribute decision makingen
dc.subjectstrategic weight manipulationen
dc.subjectminimum costen
dc.subjectinterval attribute weights informationen
dc.titleMultiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights informationen
dc.typeArticleen

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