Artificial neural networks are massively paralleled distributed computation and fast convergence and can be considered as an efficient method to solve real-time optimization problems. In this paper, we propose reference point based neural network algorithm for solving fuzzy multiobjective optimization problems MOOP. The target is to identify the Pareto-optimal region closest to the reference po...

It is clear that the failures found in hospital management are usually related to the lack of information and insufficient resources management. The use of Data Mining (DM) can contribute to overcome these limitations in order to identify relevant data on patient’s management and providing important information for managers to support their decisions. Throughout this study, were induced DM mode...

Die Analyse von Produktionsprozessen innerhalb von Data-Mining-Projekten stellt einen hohen Anspruch an die interdisziplinäre Zusammenarbeit zwischen Domänenund DataMining-Experten. Die vorgeschlagene modellgestützte Methode offeriert dazu einen ersten Vorschlag, wie real-weltliche Produktionsprozesse in eine von analytischen Verfahren geprägte Welt überführt werden können. Dazu werden die Anfo...

The lmitations found in hospital management are directly related to the lack of information and to an inadequate resource management. These aspects are crucial for the management of any organizational entity. This work proposes a Data Mining (DM) approach in order to identify relevant data about patients’ management to provide decision makers with important information to fundament their decisi...

This paper introduces the idea of data-driven narratives to examine how use information, communications, and media technologies (ICMTs) impacts sustainable growth economies. While ICMTs have regularly been advocated as a policy tool for development, there is research gap in empirical studies validating such policies may be effective. analysis based on historical panel data from 39 economies acr...

In real decision situations a decision maker (DM) is often confronted with the problem that the information which is necessary for constructing a classical decision model is not available, or the cost for getting this information seems too high. Subsequently, the DM abstains from constructing a decision model; the DM fears that this model is not an authentic image of the real problem. Fuzzy set...

The number of applied in the data mining and knowledge discovery (DM & KD) projects has increased enormously over the past few years (Jaffarian et al., 2008) (Kdnuggets.com, 2007c). As DM & KD development projects became more complex, a number of problems emerged: continuous project planning delays, low productivity and failure to meet user expectations. Neither all the project results are usef...