24 citations · 34 across the 9 of their papers we have counts for
10 papers
The strict complementary slackness condition in linear fractional programming
Mahmood Mehdiloozad, Kaoru Tone, Mohammad Bagher Ahmadi
The strict complementary slackness condition (SCSC) is an important concept in the duality theory of linear programming (LP). The current study aims at extending this concept to th…
Measurement of returns to scale in DEA using the CCR model
Mahmood Mehdiloozad, Biresh K. Sahoo
In data envelopment analysis (DEA) literature, the returns to scale (RTS) of an inefficient decision making unit (DMU) is determined at its projected point on the efficient frontie…
On classifying decision making units in DEA: A unified dominance-based model
Mahmood Mehdiloozad, Mohammad Bagher Ahmadi, Biresh K. Sahoo
In data envelopment analysis (DEA), the concept of efficiency is examined in either Farrell (DEA) or Pareto senses. In either of these senses, the efficiency status of a decision m…
Identifying the global reference set in DEA: A mixed 0-1 LP formulation with an equivalent LP relaxation
Mahmood Mehdiloozad
The recent study by [Mehdiloozad, Mirdehghan, Sahoo, & Roshdi (2015) On the identification of the global reference set in data envelopment analysis. EJOR, 245, 779-788] proposes a…
Measurement of returns to scale with weight restrictions: How to deal with the occurrence of multiple supporting hyperplanes?
Mahmood Mehdiloozad, Kaoru Tone, Biresh K. Sahoo
While measuring returns to scale in data envelopment analysis (DEA), the occurrence of multiple supporting hyperplanes has been perceived as a crucial issue. To deal effectively wi…
On the identification of the global reference set in data envelopment analysis
Mahmood Mehdiloozad, S. Morteza Mirdehghan, Biresh K. Sahoo +1
It is well established that multiple reference sets may occur for a decision making unit (DMU) in the non-radial DEA (data envelopment analysis) setting. As our first contribution,…
Identification of reference set and measurement of returns to scale in DEA: A least distance based framework
Mahmood Mehdiloozad, Mohammad Bagher Ahmadi
In data envelopment model (DEA), while either the most or least distance based frameworks can be implemented for targeting, the latter is often more relevant than the former from a…
Finding a maximal element of a convex set through its characteristic cone: An application to finding a strictly complementary solution
Mahmood Mehdiloozad, Kaoru Tone, Rahim Askarpour +1
In order to express a polyhedron as the (Minkowski) sum of a polytope and a polyhedral cone, Motzkin (1936) made a transition from the polyhedron to a polyhedral cone. Based on his…
Analyzing the concept of super-efficiency in data envelopment analysis: A directional distance function approach
Mahmood Mehdiloozad, Israfil Roshdi
Based on the framework of the directional distance function, we conduct a systematic analysis on the measurement of super-efficiency in order to achieve two main objectives. Our pr…
A linear programming based approach for determining maximal closest reference set in DEA
Israfil Roshdi, Mahmood Mehdiloozad, Dimitris Margaritis
Identification of the reference set for each decision making unit (DMU) is a main concern in the data envelopment analysis (DEA). All of the methods developed to date have been foc…