Second-order conic programming for data envelopment analysis models

Data envelopment analysis (DEA) is a widely used benchmarking technique. Its strength stems from the fact that it can include several inputs and outputs of not necessarily same type to evaluate efficiency scores. Indeed, aforesaid method based on mathematical optimization. This paper constructs second-order conic optimization problem unifying DEA models. Moreover, presents an algorithm solves former problem, provides MATLAB function associated with it. As far as known, no Among different types DEA, this handle deterministic, Malmquist index, stochastic In fact, involved in various practical applications, thus, work will provide some possible future extensions, only for but also any programming software applications decision science analysis.