Fuzzy logic and probability

In this paper we deal with a new approach to probabilistic reasoning in a logical frame work. Nearly allmost all logics of probability that have been proposed in the literature are based on classical two-valued logic. After making clear the differences between fuzzy logic and probability theory, here we propose a fuzy logic of probability for which completeness results (in a probabilistic sense) are provided. The main idea behind this approach is that probability values of crisp propositions can be understood as truth-values of some suitable fuzzy propositions associated to the crisp ones. Moreover, suggestions and examples of how to extend the formalism to cope with conditional probabilities and with other uncertainty formalisms are also provided.

• Publication year

  1995

• Venue

  Conference on Uncertainty in Artificial Intelligence

• Publication date

  1995-08-18

• Fields of study

  Mathematics, Computer Science

• Identifiers
  arXiv 1302.4953
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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