An input relaxation model for evaluating congestion in fuzzy DEA

An input relaxation model for evaluating congestion in fuzzy DEA

This paper develops a BCC input relaxation model for identifying input congestion as a severe form of inefficiency of decision-making units in fuzzy data envelopment analysis. The possibility approach is presented to obtain the models equivalent to fuzzy models. We use a one-model approach to determ...

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Main Authors: Rasoul Chawshini, Hooshang Kheirollahi, Peyman Hessari, Vincent Charles
Format: Article
Language:English
Published: Croatian Operational Research Society 2017-01-01
Series:Croatian Operational Research Review
Online Access:http://hrcak.srce.hr/file/285559
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spelling doaj-f774925598454c5fb1bc5e8e9245e41a2020-11-24T22:35:19ZengCroatian Operational Research SocietyCroatian Operational Research Review1848-02251848-99312017-01-018239140810.17535/crorr.2017.0025193539An input relaxation model for evaluating congestion in fuzzy DEARasoul Chawshini0Hooshang Kheirollahi1Peyman Hessari2Vincent Charles3Kurdestan Electricity Power Distribution Company, Janbazan St., Sanandaj, Kurdistan Province, IranKurdistan University of Medical Sciences, Sanandaj, IranDepartment of Mathematical and Statistical Sciences, University of Alberta 116 St. and 85 Ave., Edmonton, AB, T6G 2G1, CanadaCENTRUM Católica Graduate Business School, PUCP Calle Daniel Alomía Robles 125 - 129, Los Álamos de Monterrico, Santiago de Surco, Lima 33, PeruThis paper develops a BCC input relaxation model for identifying input congestion as a severe form of inefficiency of decision-making units in fuzzy data envelopment analysis. The possibility approach is presented to obtain the models equivalent to fuzzy models. We use a one-model approach to determine input congestion based on the BCC input relaxation model. A numerical example is given to illustrate the proposed model and identify the congestion with precise and imprecise data. The proposed model is also used to determine the congestion in 16 hospitals using four fuzzy inputs and two fuzzy outputs with a symmetrical triangular membership function.http://hrcak.srce.hr/file/285559
collection DOAJ
language English
format Article
sources DOAJ
author Rasoul Chawshini
Hooshang Kheirollahi
Peyman Hessari
Vincent Charles
spellingShingle Rasoul Chawshini
Hooshang Kheirollahi
Peyman Hessari
Vincent Charles
An input relaxation model for evaluating congestion in fuzzy DEA
Croatian Operational Research Review
author_facet Rasoul Chawshini
Hooshang Kheirollahi
Peyman Hessari
Vincent Charles
author_sort Rasoul Chawshini
title An input relaxation model for evaluating congestion in fuzzy DEA
title_short An input relaxation model for evaluating congestion in fuzzy DEA
title_full An input relaxation model for evaluating congestion in fuzzy DEA
title_fullStr An input relaxation model for evaluating congestion in fuzzy DEA
title_full_unstemmed An input relaxation model for evaluating congestion in fuzzy DEA
title_sort input relaxation model for evaluating congestion in fuzzy dea
publisher Croatian Operational Research Society
series Croatian Operational Research Review
issn 1848-0225
1848-9931
publishDate 2017-01-01
description This paper develops a BCC input relaxation model for identifying input congestion as a severe form of inefficiency of decision-making units in fuzzy data envelopment analysis. The possibility approach is presented to obtain the models equivalent to fuzzy models. We use a one-model approach to determine input congestion based on the BCC input relaxation model. A numerical example is given to illustrate the proposed model and identify the congestion with precise and imprecise data. The proposed model is also used to determine the congestion in 16 hospitals using four fuzzy inputs and two fuzzy outputs with a symmetrical triangular membership function.
url http://hrcak.srce.hr/file/285559
work_keys_str_mv AT rasoulchawshini aninputrelaxationmodelforevaluatingcongestioninfuzzydea
AT hooshangkheirollahi aninputrelaxationmodelforevaluatingcongestioninfuzzydea
AT peymanhessari aninputrelaxationmodelforevaluatingcongestioninfuzzydea
AT vincentcharles aninputrelaxationmodelforevaluatingcongestioninfuzzydea
AT rasoulchawshini inputrelaxationmodelforevaluatingcongestioninfuzzydea
AT hooshangkheirollahi inputrelaxationmodelforevaluatingcongestioninfuzzydea
AT peymanhessari inputrelaxationmodelforevaluatingcongestioninfuzzydea
AT vincentcharles inputrelaxationmodelforevaluatingcongestioninfuzzydea
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