This research evaluates the connection between corruption, economic development, and insecurity in several Colombian departments. This chapter explores the dynamics of these variables using two empirical techniques: the Data Envelopment Analysis (DEA) and the Dynamic Panel Data Model (DPDM). DEA is performed to evaluate social performance in terms of corruption, economic development, and insecu...

Dynamic network data envelopment analysis (DNDEA) has attracted a lot of attention in recent years. On one hand the available models in DNDEA evaluating the performance of a DMU with interrelated processes during specified multiple periods but on the other hand they can only measure the efficiency of dynamic network structure when a supply chain structure present. For example, in the banking in...

The methods currently used to determine the scaling exponent of a complex dynamic process described by a time series are based on the numerical evaluation of variance. This means that all of them can be safely applied only to the case where ordinary statistical properties hold true even if strange kinetics are involved. We illustrate a method of statistical analysis based on the Shannon entropy...

In Iran, more than 94% of transportation is road transportation. The goal this article to assess and rate companies 31 country provinces determine the effect integrating six sigma DMAIC cycle dynamic data envelopment analysis (DDEA) on effective inputs outputs. BCC output-oriented has been changed model. According conducted sensitivity in improvement phase, it determined what changes should be ...

Knowledge sharing as one of the most crucial processes in knowledge management, operates in a dynamic environment. Dedicated tools to measure its performance under such an environment are not found in the literature. This paper aims to fill this void by proposing a hybrid model based on Data Envelopment Analysis (DEA). Monte Carlo simulation is incorporated into the model to handle stochastic d...

This paper describes an analytical study that was performed as part of the development of an externally deployable energy absorber (DEA) concept. The concept consists of a composite honeycomb structure that can be stowed until needed to provide energy attenuation during a crash event, much like an external airbag system. One goal of the DEA development project was to generate a robust and relia...

Data-driven evolutionary algorithms (DDEAs) aim to utilize data and surrogates drive optimization, which is useful efficient when the objective function of optimization problem expensive or difficult access. However, performance DDEAs relies on their surrogate quality often deteriorates if amount available decreases. To solve these problems, this article proposes a new DDEA framework with pertu...

We address the problem of the statistical analysis of a time series generated by complex dynamics with the diffusion entropy analysis (DEA) [N. Scafetta, P. Hamilton, and P. Grigolini, Fractals 9, 193 (2001)]. This method is based on the evaluation of the Shannon entropy of the diffusion process generated by the time series imagined as a physical source of fluctuations, rather than on the measu...