Integrated fuzzy data envelopment analysis to assess transport performance

Lawrence W. Lan, Yu-Chiun Chiou*, Tzu-Hui Yen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Previous fuzzy data envelopment analysis (FDEA) models separately solving for the lower- and upper-bound efficiency frontiers under a specific α-cut level may lead to inconsistent efficiency rankings, unreasonable efficiency scores, and cumbersome slack computations. To rectify such shortcomings, this paper proposes two novel integrated fuzzy data envelopment analysis (IFDEA) models wherein both efficiency frontiers are incorporated into a single modelling formulation in ways that the slack values for lower- and upper-bound input/output variables are determined simultaneously. A numerical example shows that the proposed IFDEA models are more generalised and with greater simplicity than an existent FDEA model. A case study further demonstrates that the proposed IFDEA models can satisfactorily assess the relative efficiency for bus transport companies provided that a portion of the variables are measured qualitatively with vagueness (passenger satisfaction in this study).

Original languageEnglish
Pages (from-to)401-419
Number of pages19
JournalTransportmetrica A: Transport Science
Volume10
Issue number5
DOIs
StatePublished - 1 Jan 2014

Keywords

  • bus transport
  • fuzzy data envelopment analysis
  • integrated fuzzy data envelopment analysis

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