This paper presents a novel axiomatic approach to measuring and comparing hierarchical structures. Hierarchies are fundamental across a range of disciplines – from ecology to organizational science – yet existing measures of hierarchical degree often lack systematic criteria for comparison....

Contemporary decision support systems are increasingly relying on artificial intelligence technology such as machine learning algorithms to form intelligent systems. These systems have human-like decision capacity for selected applications based on a decision rationale which cannot be looked-up...

Due to computational advances in the past decades, so-called intelligent systems can learn from increasingly complex data, analyze situations, and support users in their decision-making to address them. However, in practice, the complexity of these intelligent systems renders the user hardly...

Recent (de-)globalization tendencies and rising protectionist measures has created new interest in studying the effects of unilateral and world-wide tariffs. This paper contributes to this issue by taking into account that international transactions in goods and services increasingly take the...

This paper derives a universal approximation result for theminimum fuzzy implication rule as well as a differentiable substitute function that allows fast optimization and function approximation with neuro-fuzzy networks.

Oracle Human Resources (Oracle HRMS) represents a strong set of applications for the optimization of the human capital an organization disposes of. In the new economy, based on the Internet, the optimum usage of work force is one of the imperatives in e-business. In order to successfully meet...

In the central point of the change management is situated the problem of the change, which is the study we are going to reach to in the future, leaving from the actual state and the structured and organized process, that will allow us the transition from a stage to another. The professional...

Food security is a key issue in sustainability studies. In this paper we propose a general framework for providing detailed probabilistic socioeconomic scenarios as well as predictions across scenarios, concerning food security. Our methodology is based on the Bayesian probabilistic prediction...

Forecasting the vote share for the upcoming US presidential elections involves multiple pivotal economic and non-economic factors. Critical macroeconomic forces such as the rate of economic growth, tax burden, inflation, and unemployment significantly influence the votes gained or lost by the...

Extending the results in Sargan (1976) and Tanaka (1984), we derive the asymptotic expansions, of the Edgeworth and Nagar type, of the MM and QML estimators of the 1^{st} order autocorrelation and the MA parameter for the MA(1) model. It turns out that the asymptotic properties of the estimators...