Approximate well-founded semantics, query answering and generalized normal logic programs over lattices-Reference-Cited by-同舟云学术

Approximate well-founded semantics, query answering and generalized normal logic programs over lattices

Published:2008-10-25 Issue:3-4 Volume:55 Page:389-417
ISSN:1012-2443
Container-title:Annals of Mathematics and Artificial Intelligence
language:en
Short-container-title:Ann Math Artif Intell

Author:

Loyer Yann,Straccia Umberto

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10472-008-9099-0.pdf

Reference146 articles.

1. Alsinet, T., Godo, L.: Towards an automated deduction system for first-order possibilistic logic programming with fuzzy constants. Int. J. Intell. Syst. 17(9), 887–924 (2002)

2. Alsinet, T., Godo, L., Sandri, S.: On the semantics and automated deduction fo PLFC, a logic of possibilistic uncertainty and fuzzyness. In: Proceedings of the 15th Annual Conference on Uncertainty in Artificial Intelligence (UAI-99). Morgan Kaufmann, San Francisco (1999)

3. Alsinet, T., Godo, L.: A complete calcultis for possibilistic logic programming with fuzzy propositional variables with fuzzy propositional variables. In: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence (UAI-00), pp. 1–10. Morgan Kaufmann, San Francisco (2000)

4. Baldwin, J.F.: Evidential support of logic programming. Fuzzy Sets Syst. 24(1), 1–26 (1987)

5. Baldwin, J.F.: A theory of mass assignments for artificial intelligence. Lect. Notes Comput. Sci. 833, 22–34 (1994)

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