A New Parallel Fuzzy Data Envelopment Analysis Model for Parallel Systems with Two Components based on Stackelberg Game Theory

Xiao Shi, Ali Emrouznejad*, Minyue Jin, Feng Yang

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

This paper investigates the problem of efficiency measurement for parallel systems with two components based on Stackelberg game theory, while some inputs/outputs are fuzzy numbers. Conventional DEA models treat DMUs as “Black Boxes”. While in this paper, we propose a new parallel fuzzy DEA model to calculate the efficiency scores for each DMU’s whole system and its sub-systems. Through the Stackelberg (leader–follower) game theory, the whole system’s efficiency score of each DMU is decomposed into a set of efficiency scores for its sub-systems. This approach is independent of the α-cut which reduces the computational efforts. In order to show our method, we use the data from Beasley (J Oper Res Soc 46(4):441–452, 1995) to measure the fuzzy efficiency of the teaching and research efficiencies of chemistry departments in UK universities.

Original languageEnglish
Pages (from-to)311-332
Number of pages22
JournalFuzzy Optimization and Decision Making
Volume19
Issue number3
Early online date25 Apr 2020
DOIs
Publication statusPublished - 1 Sep 2020

Bibliographical note

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Keywords

  • Data envelopment analysis
  • Fuzzy data
  • Parallel system
  • Stackelberg game theory

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