Parichehr Zamani

[ 1 ] - Sensitivity in ranking for perturbations of data in DEA

[ 2 ] - Choosing weights for a complete ranking of DMUs in DEA and cross-evaluation

Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. One of the interesting research subjects is to discriminate between efficient DMUs. The aim of this paper is ranking all efficient (extreme and non-ex...

[ 3 ] - The Position of Multiobjective Programming Methods in Fuzzy Data Envelopment Analysis

Traditional Data Envelopment Analysis (DEA) models evaluate the efficiency of decision making units (DMUs) with common crisp input and output data. However, the data in real applications are often imprecise or ambiguous. This paper transforms fuzzy fractional DEA model constructed using fuzzy arithmetic, into the conventional crisp model. This transformation is performed considering the goal pr...