
arXiv: 0811.3373
We extend the notion of belief function to the case where the underlying structure is no more the Boolean lattice of subsets of some universal set, but any lattice, which we will endow with a minimal set of properties according to our needs. We show that all classical constructions and definitions (e.g., mass allocation, commonality function, plausibility functions, necessity measures with nested focal elements, possibility distributions, Dempster rule of combination, decomposition w.r.t. simple support functions, etc.) remain valid in this general setting. Moreover, our proof of decomposition of belief functions into simple support functions is much simpler and general than the original one by Shafer.
FOS: Computer and information sciences, [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Discrete Mathematics (cs.DM), Knowledge representation, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], decomposition of belief functions, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), 004, Computer Science - Discrete Mathematics
FOS: Computer and information sciences, [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Discrete Mathematics (cs.DM), Knowledge representation, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], decomposition of belief functions, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), 004, Computer Science - Discrete Mathematics
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