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An effective Markov based approach for calculating the Limit Matrix in the analytic network process

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dc.contributor.author Kirytopoulos, K en
dc.contributor.author Voulgaridou, D en
dc.contributor.author Platis, A en
dc.contributor.author Leopoulos, V en
dc.date.accessioned 2014-03-01T01:35:07Z
dc.date.available 2014-03-01T01:35:07Z
dc.date.issued 2011 en
dc.identifier.issn 0377-2217 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20972
dc.subject Markov processes en
dc.subject Multiple criteria decision analysis en
dc.subject Analytic network process en
dc.subject 'Power' matrix method en
dc.subject.classification Management en
dc.subject.classification Operations Research & Management Science en
dc.subject.other HIERARCHY PROCESS en
dc.subject.other DECISION-MAKING en
dc.subject.other PROCESS MODEL en
dc.subject.other FORMULATION en
dc.subject.other PRIORITIES en
dc.subject.other LOGISTICS en
dc.subject.other SELECTION en
dc.subject.other GEOMETRY en
dc.subject.other SYSTEM en
dc.subject.other CHAIN en
dc.title An effective Markov based approach for calculating the Limit Matrix in the analytic network process en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.ejor.2011.03.043 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.ejor.2011.03.043 en
heal.language English en
heal.publicationDate 2011 en
heal.abstract Analytic network process is a multiple criteria decision analysis (MCDA) method that aids decision makers to choose among a number of possible alternatives or prioritize the criteria for making a decision in terms of importance. It handles both qualitative and quantitative criteria, that are compared in pairs, in order to forge a best compromise answer according to the different criteria and influences involved. The method has been widely applied and the literature review reveals a rising trend of ANP-related articles. The 'power' matrix method, a procedure necessary for the stability of the decision system, is one of the critical calculations in the mathematical part of the method. The present study proposes an alternative mathematical approach that is based on Markov chain processes and the well-known Gauss-Jordan elimination. The new approach obtains practically the same results as the power matrix method, requires slightly less time and number of calculations and handles effectively cyclic supermatrices, optimizing thus the whole procedure. (C) 2011 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName EUROPEAN JOURNAL OF OPERATIONAL RESEARCH en
dc.identifier.doi 10.1016/j.ejor.2011.03.043 en
dc.identifier.isi ISI:000292433900009 en
dc.identifier.volume 214 en
dc.identifier.issue 1 en
dc.identifier.spage 85 en
dc.identifier.epage 90 en


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