Generalizing Fuzzy Logic Probabilistic Inferences

2013/03/27 by Silvio Ursic, Ursic, Silvio
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Multi-Criteria Decision Making #Rough Sets and Fuzzy Logic

paper · pdf · doi:10.48550/arxiv.1304.3114

openalex publication_date 2013/03/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Fuzzy logic and approximate reasoning
• Computational Complexity of Probabilistic Turing Machines

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