Complexity of fuzzy answer set programming under Łukasiewicz semantics-Reference-Cited by-同舟云学术

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Complexity of fuzzy answer set programming under Łukasiewicz semantics

Published:2014-12 Issue:9 Volume:55 Page:1971-2003
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Blondeel Marjon,Schockaert Steven,Vermeir Dirk,De Cock Martine

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference42 articles.

1. Knowledge Representation, Reasoning and Declarative Problem Solving;Baral,2003

2. Complexity results for disjunctive logic programming and application to nonmonotonic logics;Eiter,1993

3. A core language for fuzzy answer set programming;Janssen;Int. J. Approx. Reason.,2012

4. An introduction to fuzzy answer set programming;Van Nieuwenborgh;Ann. Math. Artif. Intell.,2007

5. Metamathematics of Fuzzy Logic;Hájek,1998

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1. Fuzzy Multicontext Systems;IEEE Transactions on Fuzzy Systems;2023-03

2. Answers set programs for non-transferable utility games: Expressiveness, complexity and applications;Artificial Intelligence;2022-01

3. Fuzzy Answer Set Programming: From Theory to Practice;Studies in Computational Intelligence;2020

4. Logic Programming;A Guided Tour of Artificial Intelligence Research;2020

5. Modeling multi-valued biological interaction networks using fuzzy answer set programming;Fuzzy Sets and Systems;2018-08

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