The Belgian Federal Police (BFP) already using an array of advanced and task-specific tools for collection, dispersal and exploitation of highly structured information, is now shifting attention towards intelligent information retrieval technologies for exploiting vast amounts of unstructured information sources (police case reports), from which further knowledge could be obtained for analysis ...

Psychological distress and disabilities are increasingly identified among general population. Psychiatrist availability in rural areas is poor and often general practitioners have to identify and treat psychiatric problems like depression and anxiety. This work proposes a method to identify the psychiatric problems among patients using multi decision support system. Backpropagation (BP) and rad...

There has been an explosion in the availability of data and computing ability in retail management that has led to a new desire on the part of managers to implement demand based management. Demand based management uses statistical models to predict consumer price response using historical information. These models can be used to construct pricing decision support systems for retail managers. Cu...

This article deals with the analysis and design of an interactive decision support system for timetable management. This tool will be able to take hierarchical data organization into account and to maintain coherence of the constraints on this data. Our research which has led to the creation of the EDT tool has two aims. The first aim is to provide an open, generic tool which can be developed i...

introduction: the adaptive neuro-fuzzy inference system (anfis) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. in this study we used this model in breast cancer detection. methodology: a set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used.  first, the risk fact...

The primary purpose of this paper is to show an efficient way of handling models and model data in a decision support system, in which is is usual to consider several variants of a model. The model data primarily consist of model-defining data, but the same approach may be used for the generated results as well. By efficient handling is meant the handling by the computer as well as by the user....

in the explosive growth of business to business (b2b) electronic trades, electronic markets have received a great deal of attention recently. the obtained profit of trading in e-b2b market encourage market participants to remain in the market. market participants consist of: sellers, buyers, and market owner. in this paper the expected profit function for each market participant has been define...

in recent decades, information technology systems and tools play an essential role in improving the method for responding the requests from managers. decision support system as an important tool has the fundamental role in organizations. in the team of software project allocating people to tasks has a noticeable effect on profits. a decision support system can help managers in making appropriat...

The modelling of the learning individualization process is a complex problem which needs multidisciplinary knowledge. The variety of decision problems and of complex domain will never be just one method of model-based decision support. For that making rational decision should be distributed in different levels using various types of knowledge and models. The multi-modelling of the learning acti...