The inverse Data Envelopment Analysis (InvDEA) is an exciting and significant topic in the
DEA area. Also, uncertain data in various real-life applications can degrade the efficiency …

In this paper, we present an efficient method for determining the solution of the stochastic
second kind Volterra integral equations (SVIE) by using the Taylor expansion method. This …

Performance benchmarking of electricity distribution markets is essential for improving
industry performance parameters. In a benchmarking study, the most important problem is …

Stochastic programming is an approach for modeling and solving optimization problem that
include uncertain data. Chance constrained programming is one of the most important …

Abstract Data Envelopment Analysis (DEA) is a data-oriented performance evaluation
method which has treated data as being deterministic. Throughout applications managers …

The present study puts forward an approach that aids in the achievement of significant
technical urban energy efficiency results and that identifies the coherence of different frontier …

Conflict intermediate measures in DEA models, especially in constraint and open the black
box, is the main difference between traditional DEA and network DEA models. Furthermore …

The inverse Data Envelopment Analysis (InvDEA) is an exciting and significant topic in the
DEA area. Also, uncertain data in various real-life applications can degrade the efficiency …

Consider the random walk among N places with N (N-1)/2 transports. We attach an
exponential random variable X ij to each transport between places P i and P j and take these …

Performance measurement techniques/systems normally assume homogeneity among
decision making units (DMUs) where the units under evaluation share the same …