An Approach for Generating Weights Using the Pairwise Comparison Matrix

Data envelopment analysis (DEA) has been used for obtaining weights for the analytic hierarchy process (AHP), an approach known as DEAHP. This method sometimes identifies more than one decision criterion or alternative as DEAHP-efficient. To overcome this problem, this paper proposes a new approach...

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Main Authors: Zaher Sepehrian, Sahar Khoshfetrat, Said Ebadi
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/3217120
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author Zaher Sepehrian
Sahar Khoshfetrat
Said Ebadi
author_facet Zaher Sepehrian
Sahar Khoshfetrat
Said Ebadi
author_sort Zaher Sepehrian
collection DOAJ
description Data envelopment analysis (DEA) has been used for obtaining weights for the analytic hierarchy process (AHP), an approach known as DEAHP. This method sometimes identifies more than one decision criterion or alternative as DEAHP-efficient. To overcome this problem, this paper proposes a new approach that not only generates appropriate weights for the decision criteria or alternatives, but also differentiates between DEAHP-efficient decision criteria or alternatives. To this end, we propose a DEA model with an assurance region and a cross-weight model that prioritizes decision criteria or alternatives by considering their most unfavorable weights. Two numerical examples are also provided to illustrate the advantages and potential applications of the proposed model.
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spelling doaj-art-6041b601c0a54f06910fae7470acc5052025-02-03T07:24:15ZengWileyJournal of Mathematics2314-47852021-01-01202110.1155/2021/3217120An Approach for Generating Weights Using the Pairwise Comparison MatrixZaher Sepehrian0Sahar Khoshfetrat1Said Ebadi2Department of MathematicsDepartment of MathematicsDepartment of MathematicsData envelopment analysis (DEA) has been used for obtaining weights for the analytic hierarchy process (AHP), an approach known as DEAHP. This method sometimes identifies more than one decision criterion or alternative as DEAHP-efficient. To overcome this problem, this paper proposes a new approach that not only generates appropriate weights for the decision criteria or alternatives, but also differentiates between DEAHP-efficient decision criteria or alternatives. To this end, we propose a DEA model with an assurance region and a cross-weight model that prioritizes decision criteria or alternatives by considering their most unfavorable weights. Two numerical examples are also provided to illustrate the advantages and potential applications of the proposed model.http://dx.doi.org/10.1155/2021/3217120
spellingShingle Zaher Sepehrian
Sahar Khoshfetrat
Said Ebadi
An Approach for Generating Weights Using the Pairwise Comparison Matrix
Journal of Mathematics
title An Approach for Generating Weights Using the Pairwise Comparison Matrix
title_full An Approach for Generating Weights Using the Pairwise Comparison Matrix
title_fullStr An Approach for Generating Weights Using the Pairwise Comparison Matrix
title_full_unstemmed An Approach for Generating Weights Using the Pairwise Comparison Matrix
title_short An Approach for Generating Weights Using the Pairwise Comparison Matrix
title_sort approach for generating weights using the pairwise comparison matrix
url http://dx.doi.org/10.1155/2021/3217120
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