Determining Relative Efficiency of Slightly-Nonhomogeneous Decision Making Units by Data Envelopment Analysis

Subject Areas : Futurology

R. Farzinpoor Saen ¹ , A. Memariani ² , F. Hosseinzadeh lotfi ³

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Received: 2015-02-22 Accepted : 2015-02-22 Published : 2002-12-22

Keywords: Data Envelopment Analysis, Analytic Hierarchy Process, Missing values, Chance constrained DEA,

Abstract :

The assumption of classical Data Analysis (DEA) model is based on complete homogeneity of Decision Making Units (DMU’s). The objective of this paper is to propose a method of determining relative efficiency of slightly-nohomogeneous DMU’s by using DEA. First missing values are inserted by series mean. Then relative weights of DMU are measured by Analytic Hierarchy Process (AHP) and finally relative efficiency of DMU’s is computed by Chance Constrained DEA. A case study demonstrates the application of the proposed method.