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Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem

dc.contributor.authorBulut, Emrah
dc.contributor.authorDuru, Okan
dc.contributor.authorKocak, Gazi
dc.date.accessioned2026-06-27T13:31:22Z
dc.date.issued2015
dc.description.abstractThe aim of this paper is to improve the applicability of the fuzzy-AHP method by using the rotational priority investigation (RPI) method. Despite its popularity and convenience, the AHP and fuzzy-AHP method is criticized by many scholars because of intransitivity and the rank reversal phenomenon. Experts may question the rational choice theory and cross priorities may indicate conflicting interactions. Also, the extraction of a number of alternatives may cause a different order of priorities. The rotational priority investigation method is proposed to investigate sub-group priorities and their corresponding rankings. Every rotation refers to the investigation of sub-group priorities after extraction of an alternative. The final result is based on the normalized average priority among the several rotations. An empirical study is presented by using the RPI method in the fuzzy AHP for the marine engine selection problem in the shipping industry. (C) 2014 Elsevier Inc. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.apm.2014.07.018
dc.identifier.doi10.1016/j.apm.2014.07.018
dc.identifier.eissn1872-8480
dc.identifier.endpage923
dc.identifier.issn0307-904X
dc.identifier.issue2
dc.identifier.startpage913
dc.identifier.urihttps://hdl.handle.net/20.500.14981/53517
dc.identifier.volume39
dc.identifier.wos000347598900037
dc.language.isoeng
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofAPPLIED MATHEMATICAL MODELLING
dc.subjectFuzzy-AHP
dc.subjectRational choice theory
dc.subjectRank reversal
dc.subjectMarine engine
dc.subjectCONSISTENCY INDEX
dc.subjectAHP
dc.subjectPRIORITIZATION
dc.subjectTOPSIS
dc.subjectMODEL
dc.subjectEngineering
dc.subjectMathematics
dc.subjectMechanics
dc.titleRotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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