Development of congestion model in fuzzy data envelopment analysis

Subject Areas : مدیریت

Alireza Alinezhad ¹ ( Associate Professor, Departement of Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran. )
Behnam Mohamadbeigi ² ( M.Sc. Student, Departement of Engineering, Qazvin branch, IslamicAzad University, Qazvin, Iran. )

Received: 2017-09-21 Accepted : 2017-09-21 Published : 2017-08-23

Keywords: Keywords: Data envelopment analysis, fuzzy data envelopment analysis, optimistic and pessimistic congestion, α-cut,

Abstract :

This paper studies the congestion model development in fuzzy data envelopment analysis. To obtain the lower and upper bounds for concepts of efficiency and inputs and outputs, it is possible to apply the advantages of α-cut which exists in fuzzy data envelopment analysis. Additionally, this paper proposes a new concept of congestion which examines congestion from an optimistic and pessimistic viewpoint. In this concept, the optimistic case examines congestion in a condition that the under-investigation decision making unit provides the optimum output by taking the lowest input. The pessimistic case, also, demonstrates a condition in which the under-investigation decision making unit provides the worst output by taking the optimum input. Using these two cases, the congestion is studied in fuzzy data envelopment analysis.Keywords: Data envelopment analysis, fuzzy data envelopment analysis, optimistic and pessimistic congestion, α-cut.