Studia Logica 58 (1):143-184 (1997)
|Abstract||We are concerned with formal models of reasoning under uncertainty. Many approaches to this problem are known in the literature e.g. Dempster-Shafer theory , , bayesian-based reasoning , , belief networks , many-valued logics and fuzzy logics , non-monotonic logics , neural network logics . We propose rough mereology developed by the last two authors [22-25] as a foundation for approximate reasoning about complex objects. Our notion of a complex object includes, among others, proofs understood as schemes constructed in order to support within our knowledge assertions/hypotheses about reality described by our knowledge incompletely.|
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