Fundamental concepts of qualitative probabilistic networks
Artificial Intelligence
Mathematics and Computers in Simulation - Special issue: 3rd IMACS international workshop on qualitative reasoning and decision support systems
Decision Support Systems - Knowledge management support of decision making
A framework for linking advanced simulation models with interactive cognitive maps
Environmental Modelling & Software
Inference in qualitative probabilistic networks revisited
International Journal of Approximate Reasoning
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With regard to environmental decision-making, the field of conceptual modelling is primarily focused on representation and visualisation. As such, the 'soft' problem structuring methods have limited analytical value. On the other hand, quantitative analyses with various types of 'hard' models lack in flexibility and versatility. The Quasta approach as presented in this paper aims to bridge the gap between soft and hard systems by allowing qualitative analysis on the basis of a purely conceptual model. The method can be used to identify the key elements to be modelled in a quantitative system, in order to address the problems as captured in the conceptual model.