Efficiency analysis under imprecise inputs and outputs reduction

Kobra Gholami; Farhad Hosseinzadeh Lotfi; Adel Hatami-Marbini; Per J. Agrell; Zahra Ghelej Beigi

doi:10.1142/9789814417747_0173

Efficiency analysis under imprecise inputs and outputs reduction

Kobra Gholami, Farhad Hosseinzadeh Lotfi, Adel Hatami-Marbini, Per J. Agrell, Zahra Ghelej Beigi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in activity planning and economic regulation of decentralized units under a common management. One important management challenge in such systems (e.g. schools, hospitals, utilities) is how to implement reductions in common resources (budget, staff, raw material) as well as centrally allocated outputs (students, patients, service areas) while maintaining a high operational efficiency of the system. We extend earlier work on DEA activity planning under resource and output restrictions for the case in which the centralized planner is facing an imprecise shrinkage factor, here expressed as interval data. The implementation of the proposed method is applied for a numeric example.

Original language	English
Title of host publication	World Scientific Proceedings Series on Computer Engineering and Information Science 7
Subtitle of host publication	Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference
Editors	Cengiz Kahraman, Etienne E. Kerre, Faik Tunc Bozbura
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	1082-1086
Number of pages	5
Volume	7
ISBN (Electronic)	9789814417754
ISBN (Print)	9789814417730
DOIs	https://doi.org/10.1142/9789814417747_0173
Publication status	Published - 26 Aug 2012
Externally published	Yes
Event	10th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference - Istanbul, Turkey Duration: 26 Aug 2012 → 29 Aug 2012 Conference number: 10

Publication series

Name	World Scientific Proceedings Series on Computer Engineering and Information Science
Publisher	World Scientific Publishing Co. Pte Ltd
ISSN (Print)	1793-7868

Conference

Conference	10th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference
Abbreviated title	FLINS 2012
Country/Territory	Turkey
City	Istanbul
Period	26/08/12 → 29/08/12

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10.1142/9789814417747_0173Licence: Unspecified

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Gholami, K., Lotfi, F. H., Hatami-Marbini, A., Agrell, P. J., & Beigi, Z. G. (2012). Efficiency analysis under imprecise inputs and outputs reduction. In C. Kahraman, E. E. Kerre, & F. T. Bozbura (Eds.), World Scientific Proceedings Series on Computer Engineering and Information Science 7: Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference (Vol. 7, pp. 1082-1086). (World Scientific Proceedings Series on Computer Engineering and Information Science). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789814417747_0173

Gholami, Kobra ; Lotfi, Farhad Hosseinzadeh ; Hatami-Marbini, Adel et al. / Efficiency analysis under imprecise inputs and outputs reduction. World Scientific Proceedings Series on Computer Engineering and Information Science 7: Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference. editor / Cengiz Kahraman ; Etienne E. Kerre ; Faik Tunc Bozbura. Vol. 7 World Scientific Publishing Co. Pte Ltd, 2012. pp. 1082-1086 (World Scientific Proceedings Series on Computer Engineering and Information Science).

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title = "Efficiency analysis under imprecise inputs and outputs reduction",

abstract = "Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in activity planning and economic regulation of decentralized units under a common management. One important management challenge in such systems (e.g. schools, hospitals, utilities) is how to implement reductions in common resources (budget, staff, raw material) as well as centrally allocated outputs (students, patients, service areas) while maintaining a high operational efficiency of the system. We extend earlier work on DEA activity planning under resource and output restrictions for the case in which the centralized planner is facing an imprecise shrinkage factor, here expressed as interval data. The implementation of the proposed method is applied for a numeric example.",

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author = "Kobra Gholami and Lotfi, \{Farhad Hosseinzadeh\} and Adel Hatami-Marbini and Agrell, \{Per J.\} and Beigi, \{Zahra Ghelej\}",

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doi = "10.1142/9789814417747\_0173",

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volume = "7",

series = "World Scientific Proceedings Series on Computer Engineering and Information Science",

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Gholami, K, Lotfi, FH, Hatami-Marbini, A, Agrell, PJ & Beigi, ZG 2012, Efficiency analysis under imprecise inputs and outputs reduction. in C Kahraman, EE Kerre & FT Bozbura (eds), World Scientific Proceedings Series on Computer Engineering and Information Science 7: Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference. vol. 7, World Scientific Proceedings Series on Computer Engineering and Information Science, World Scientific Publishing Co. Pte Ltd, pp. 1082-1086, 10th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, Istanbul, Turkey, 26/08/12. https://doi.org/10.1142/9789814417747_0173

Efficiency analysis under imprecise inputs and outputs reduction. / Gholami, Kobra; Lotfi, Farhad Hosseinzadeh; Hatami-Marbini, Adel et al.
World Scientific Proceedings Series on Computer Engineering and Information Science 7: Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference. ed. / Cengiz Kahraman; Etienne E. Kerre; Faik Tunc Bozbura. Vol. 7 World Scientific Publishing Co. Pte Ltd, 2012. p. 1082-1086 (World Scientific Proceedings Series on Computer Engineering and Information Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lotfi, Farhad Hosseinzadeh

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AU - Agrell, Per J.

AU - Beigi, Zahra Ghelej

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N2 - Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in activity planning and economic regulation of decentralized units under a common management. One important management challenge in such systems (e.g. schools, hospitals, utilities) is how to implement reductions in common resources (budget, staff, raw material) as well as centrally allocated outputs (students, patients, service areas) while maintaining a high operational efficiency of the system. We extend earlier work on DEA activity planning under resource and output restrictions for the case in which the centralized planner is facing an imprecise shrinkage factor, here expressed as interval data. The implementation of the proposed method is applied for a numeric example.

AB - Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in activity planning and economic regulation of decentralized units under a common management. One important management challenge in such systems (e.g. schools, hospitals, utilities) is how to implement reductions in common resources (budget, staff, raw material) as well as centrally allocated outputs (students, patients, service areas) while maintaining a high operational efficiency of the system. We extend earlier work on DEA activity planning under resource and output restrictions for the case in which the centralized planner is facing an imprecise shrinkage factor, here expressed as interval data. The implementation of the proposed method is applied for a numeric example.

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T2 - 10th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference

Y2 - 26 August 2012 through 29 August 2012

ER -

Gholami K, Lotfi FH, Hatami-Marbini A, Agrell PJ, Beigi ZG. Efficiency analysis under imprecise inputs and outputs reduction. In Kahraman C, Kerre EE, Bozbura FT, editors, World Scientific Proceedings Series on Computer Engineering and Information Science 7: Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference. Vol. 7. World Scientific Publishing Co. Pte Ltd. 2012. p. 1082-1086. (World Scientific Proceedings Series on Computer Engineering and Information Science). doi: 10.1142/9789814417747_0173

Efficiency analysis under imprecise inputs and outputs reduction

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