A fuzzy group linear programming technique for multidimensional analysis of preference

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dc.cclicenceN/Aen
dc.contributor.authorHatami-Marbini, A.en
dc.contributor.authorTavana, M.en
dc.contributor.authorSaati, S.en
dc.contributor.authorKangi, F.en
dc.date.accessioned2017-03-03T11:02:02Z
dc.date.available2017-03-03T11:02:02Z
dc.date.issued2013
dc.description.abstractAlthough crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decision making (MADM) problems. This paper extends the conventional LINMAP model to a fuzzy group decision making framework using trapezoidal fuzzy numbers. The ranking approach is used to transform the fuzzy model into a crisp model. The fuzzy LINMAP method proposed in this paper is a simple and effective tool for tackling the uncertainty and imprecision associated with the group MADM problems. A case study in fast food industry is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures.en
dc.funderN/Aen
dc.identifier.citationHatami-Marbini, A., Tavana, M., Saati, S. and Kangi, F. (2013) A fuzzy group linear programming technique for multidimensional analysis of preference. Journal of Intelligent & Fuzzy Systems, 25 (3), pp. 723-735en
dc.identifier.doihttps://doi.org/10.3233/IFS-120678
dc.identifier.urihttp://hdl.handle.net/2086/13385
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidN/Aen
dc.publisherIOS Pressen
dc.researchinstituteCentre for Enterprise and Innovation (CEI)en
dc.subjectLINMAPen
dc.subjectFuzzy linear programmingen
dc.subjectMulti-attribute decision makingen
dc.subjectGroup decision makingen
dc.subjectFast food industryen
dc.titleA fuzzy group linear programming technique for multidimensional analysis of preferenceen
dc.typeArticleen

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