Removed Sets Fusion: Performing Off The Shelf
Hué Julien, Würbel Eric, Papini Odile · Frontiers in artificial intelligence and applications · 2008
Merging multiple sources of information is a rising subject in artificial intelligence. Most of the proposals are model-based approaches with very high computational complexity, moreover few experimentations are available. This paper proposes a framework for performing Removed Sets Fusion (RSF) of belief bases consisting of prepositional formulae. It then describes the implementation of RSF which stems from Answer Set Programming (ASP) and can be performed with any ASP solver supporting the minimize statement. It finally presents an experimental study and a comparison.