Generalizing Fuzzy Logic Probabilistic Inferences
  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.
