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Title: | Representing upper probability measures over rational Lukasiewicz logic |
Author: | Marchioni, Enrico |
Citation: | Marchioni, E. (2008). Representing upper probability measures over rational Lukasiewicz logic. Mathware & Soft Computing, 15(2), 159-173. |
Abstract: | Upper probability measures are measures of uncertainty that generalize probability measures in order to deal with non-measurable events. Following an approach that goes back to previous works by H ajek, Esteva, and Godo, we show how to expand Rational Lukasiewicz Logic by modal operators v in order to reason about upper probabilities of classical boolean events y so that v(y) can be read as 'the upper probability of y'. We build the logic U (R L) for representing upper probabilities and show it to be complete w.r.t. a class of Kripke structures equipped with an upper probability measure. Finally, we prove that the set of U (R L)-satis able formulas is NP-complete. |
Keywords: | theoretical computing rational logic probability |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 2008 |
Publication license: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | Articles cientÍfics Articles |
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