arXiv · 1301.2285
Plausible reasoning from spatial observations
Abstract
This article deals with plausible reasoning from incomplete knowledge about large-scale spatial properties. The availableinformation, consisting of a set of pointwise observations,is extrapolated to neighbour points. We make use of belief functions to represent the influence of the knowledge at a given point to another point; the quantitative strength of this influence decreases when the distance between both points increases. These influences arethen aggregated using a variant of Dempster's rule of combination which takes into account the relative dependence between observations.
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Jerome Lang, Philippe Muller. 2013-01-10. Plausible reasoning from spatial observations. https://arxiv.org/abs/1301.2285
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