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dc.contributor.authorToktas, Pelin
dc.contributor.authorCan, Gulin Feryal
dc.date.accessioned2020-12-27T08:14:56Z
dc.date.available2020-12-27T08:14:56Z
dc.date.issued2019
dc.identifier.issn0219-6220en_US
dc.identifier.urihttp://hdl.handle.net/11727/5226
dc.description.abstractThis study proposes an advanced Modified KEmeny Median Indicator Rank Accordance (KEMIRA-M) approach based on stochastic evaluation process considering consistent weights to improve effective usage of KEMIRA-M. In the proposed approach, tasks related to the decision issue are performed by decision makers to ensure the understanding sufficiency of alternatives in terms of criteria more clearly. The weighting procedure of Analytic Hierarchy Process (AHP) is implemented in a stochastic manner benefited from discrete uniform distribution to provide obtaining consistent criteria weights considering median priority components. Therefore, different trials including different number of replications that shows the number of decision makers are performed and the most consistent weightings are determined for each trial in the stochastic process. In this way, the dependency to the limited numbers of decision makers and to determine criteria weights in a heuristic manner in KEMIRA-M is prevented. Additionally, the effect of the number of decision makers on criteria weightings and alternatives' ranking process is shown. To obtain the most consistent weighting results, this stochastic process is utilized until acquiring approximate consistency ratios. The proposed stochastic KEMIRA-M approach is utilized to rank nine shopping malls (SMs) in Ankara in terms of technical criteria (TC) and universal design criteria (UDC). It was seen from the ranking results that the first SM (SM1) is the best one.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1142/S0219622019500123en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectKEMIRA-Men_US
dc.subjectAHPen_US
dc.subjecttask implementationen_US
dc.subjectMCDMen_US
dc.subjectstochastic approachen_US
dc.subjectcriteria weightsen_US
dc.titleStochastic KEMIRA-M Approach with Consistent Weightingsen_US
dc.typearticleen_US
dc.relation.journalINTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKINGen_US
dc.identifier.volume18en_US
dc.identifier.issue3en_US
dc.identifier.startpage793en_US
dc.identifier.endpage831en_US
dc.identifier.wos000471179700002en_US
dc.identifier.scopus2-s2.0-85062542253en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US


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