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Semantic evaluation in possibilistic logic application to min-max discrete optimisation problems

  • 5. Non-Standard Logics
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Uncertainty in Knowledge Bases (IPMU 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 521))

Abstract

Propositional possibilistic logic is a logic of uncertainty in which the notion of inconsistency is gradual, each interpretation having a compatibility degree with the uncertain available knowledge. We present here an algorithm for the search of the best interpretation of a set of uncertain clauses (i.e., the most compatible with it), which is an extension to possibilistic logic of semantic evaluation (based on the Davis and Putnam procedure). Possibilistic logic is also a general framework for translating discrete "min-max" optimisation problems (some examples of such problems are discussed).

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Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1991 Springer-Verlag Berlin Heidelberg

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Lang, J. (1991). Semantic evaluation in possibilistic logic application to min-max discrete optimisation problems. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028111

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  • DOI: https://doi.org/10.1007/BFb0028111

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54346-6

  • Online ISBN: 978-3-540-47580-4

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