In this paper, we present a new clustering method that involves data envelopment analysis (DEA). The proposed DEA-based clustering approach employs the piecewise production functions derived from the DEA method to cluster the data with input and output items. Thus, each evaluated decision-making...

The EM algorithm is the standard method for estimating the parameters in finite mixture models. Yang and Pan [25] proposed a generalized classification maximum likelihood procedure, called the fuzzy <italic>c</italic>-directions (FCD) clustering algorithm, for estimating the parameters in mixtures of von Mises...

Dedicated to the goal of furthering evolutionary economic analysis, this book provides a coherent scientific approach to deal with the real world of continual change in the economic system. Expansive in its scope, this book ranges from abstract discussions of ontology, analysis and theory to...

To expand our knowledge about an appropriate anti-terror strategy, it is indispensable to assess the underlying causes of terror. We examine social and economic conditions in the country of origin of terrorist attacks, claiming that low opportunity costs of terror, e.g. approximated as slow...

This study explores the reduction potential of greenhouse gases for major pollution emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature we apply optimization methods to endogenously...

The present article examines one of the central elements of evolutionary thinking--competition formalized by the replicator dynamics mechanism. Using data on product characteristics of automobiles sold on the German domestic market over the period 2001--2006, we construct a competitiveness or...