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Improvement of relational two-stage DEA model under fuzzy chance constraints

  • School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Two-stage chain system widely exists in the production and management processes. It is has a great research meaning of its efficiency evaluation. This paper improves the relational two-stage DEA model by fuzzy chance constraints, constructs a relational two-stage DEA model that can deal with the fuzzy uncertainty and suit to small samples, and transforms the model into a certainty equivalent linear model to simplify the programming solving. The results of this study can be applied to many chain system efficiency evaluation researches to deal with the fuzziness of the complex economic system. Besides, the mistaken of efficiency overestimated because of the insufficiency of sample data can be fixed by the improved model. Thereby, the accuracy and precision of efficiency evaluation can be enhanced and improved. An example of commercial banks is given to show the model application.

Original languageEnglish
Title of host publication2013 International Conference on Management Science and Engineering, ICMSE 2013 - 20th Annual Conference Proceedings
Pages306-313
Number of pages8
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 20th International Conference on Management Science and Engineering, ICMSE 2013 - Harbin, China
Duration: 17 Jul 201319 Jul 2013

Publication series

NameInternational Conference on Management Science and Engineering - Annual Conference Proceedings
ISSN (Print)2155-1847

Conference

Conference2013 20th International Conference on Management Science and Engineering, ICMSE 2013
Country/TerritoryChina
CityHarbin
Period17/07/1319/07/13

Keywords

  • complex economic system
  • fuzzy chance constraints
  • relational two-stage DEA
  • small samples

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