Dynamic fuzzy data envelopment analysis models: Case of bus transport performance assessment

Tzu-Hui Yen*, Yu-Chiun Chiou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In the transport field, two characteristics-interoral dependency and fuzziness-need to be considered when assessing transport performance. First, input and output levels are interoral dependent due to heavy capital investment and because quasi-fixed input can influence output levels over multiple periods. Second, conventional Data Envelopment Analysis (DEA) models are, in nature, formulated with quantitative variables. However, qualitative measurements that are characterized with "vagueness" or "fuzziness" are as important as quantitative variables for multi-period transport performance assessment. To rectify these problems, the present study extends previous research by proposing a Dynamic Fuzzy Data Envelopment Analysis (DFDEA) method for assessing the comparative efficiency where interoral dependence exists in operating production processes with some "fuzzy" variables. An case study was conducted to evaluate the performance of city bus transport companies in Taipei, Taiwan. Results showed the superiority of the proposed DFDEA model by comparing the results with static models.

Original languageAmerican English
Pages (from-to)991-1005
Number of pages15
JournalRAIRO - Operations Research
Issue number3
StatePublished - 12 Jul 2019


  • Bus transport
  • Dynamic data envelopment analysis
  • Dynamic efficiency
  • Fuzzy data envelopment analysis
  • Membership function


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