Generalizing Fuzzy Logic Probabilistic Inferences
Artificial Intelligence
2013-04-12 v1
Abstract
Linear representations for a subclass of boolean symmetric functions selected by a parity condition are shown to constitute a generalization of the linear constraints on probabilities introduced by Boole. These linear constraints are necessary to compute probabilities of events with relations between the. arbitrarily specified with propositional calculus boolean formulas.
Cite
@article{arxiv.1304.3114,
title = {Generalizing Fuzzy Logic Probabilistic Inferences},
author = {Silvio Ursic},
journal= {arXiv preprint arXiv:1304.3114},
year = {2013}
}
Comments
Appears in Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (UAI1986)