In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

We investigate the implications of venture capital (VC) investor type (government or private)
on the operating efficiency of a sample of 515 Belgian portfolio firms up to 3 years after the …

Throughout the book, my colleagues and I have endeavored to address the DEA theory
needed by the end-users, key model design issues, correct interpretation of DEA results …

Drawing from many sources in the literature, Stochastic Dominance and Applications to
Finance, Risk and Economics illustrates how stochastic dominance (SD) can be used as a …

The objectives of this paper are manyfold. First we present a comprehensive review of the
literature of DEA models for the performance assessment of mutual funds. Then we discuss …

Fundamental analysis is used in asset selection for equity portfolio management. In this
paper, a generalized data envelopment analysis (DEA) model is developed to analyze a …

Interval-valued intuitionistic fuzzy set (IVIFS) is a flexible method to deal with uncertainty and
fuzziness. For the past few years, extensive researches about the multi-attribute group …

Purpose Based on the emerging view of supply chains as complex adaptive systems, this
paper aims to build and test an analytical model for resilience assessment surrounding …

Data envelopment analysis (DEA) has been a widely used methodology for evaluating the
relative performance of portfolios. Extensive work has appeared for realizing the role of DEA …

In this work, we analyze the performance of production units using the directional distance
function which allows to measure the distance to the frontier of the production set along any …