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Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication
The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005Inductive logic programming (ILP) is a generic tool aiming at learning rules from relational databases. Introducing fuzzy sets arid fuzzy implication connectives in this framework allows us to increase the expressive power of the induced rules while keeping the readability of the rules.
Serruier, M. +3 more
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Designing a Software Tool for Fuzzy Logic Programming
AIP Conference Proceedings, 2007Fuzzy Logic Programming is an interesting and still growing research area that agglutinates the efforts for introducing fuzzy logic into logic programming (LP), in order to incorporate more expressive resources on such languages for dealing with uncertainty and approximated reasoning.
José M. Abietar +4 more
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Tuning Fuzzy SPARQL Queries in a Fuzzy Logic Programming Environment
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019We have recently designed FSA-SPARQL, an extension of the SPARQL query language for querying fuzzy RDF datasets. Answers of FSA-SPARQL queries are usually annotated with truth degrees which are computed from fuzzy connectives and operators that act on truth degrees associated to RDF triples.
Ginés Moreno +3 more
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DEFINITION AND ADAPTATION OF WEIGHTED FUZZY LOGIC PROGRAMS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009Fuzzy logic programming has been lately used as a general framework for representing and handling imprecise knowledge. In this paper, we define the syntax and the semantics of definite weighted fuzzy logic programs, which extend definite fuzzy logic programs by allowing the inclusion of different significance weights in the individual atoms that make ...
Alexandros Chortaras +2 more
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A Fuzzy Knowledge Representation Approach with Description Logic and Logic Program
2012This paper proposes a fuzzy variant of SROIQ(D) with datalog which can support fuzzy reasoning. The paper presents the syntax and semantics of fuzzy SROIQ(D)+Datalog and discusses the common reasoning problems in fuzzy description logic programming and finally proposes an inequation/equation set approach to solve the reasoning problems.
Kun Liu +4 more
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Disjunctive Fuzzy Logic Programs with Fuzzy Answer Set Semantics
2010Reasoning under fuzzy uncertainty arises in many applications including planning and scheduling in fuzzy environments. In many real-world applications, it is necessary to define fuzzy uncertainty over qualitative uncertainty, where fuzzy values are assigned over the possible outcomes of qualitative uncertainty.
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Materials challenges for trapped-ion quantum computers
Nature Reviews Materials, 2021Kenneth R Brown +2 more
exaly
Extended Fuzzy Logic Programs with Fuzzy Answer Set Semantics
2009This paper extends fuzzy logic programs [12, 24] to allow the explicit representation of classical negation as well as non-monotonic negation, by introducing the notion of extended fuzzy logic programs. We present the fuzzy answer set semantics for the extended fuzzy logic programs, which is based on the classical answer set semantics of classical ...
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The Semantics of Dynamic Fuzzy Logic Programming Language
2011Dynamic fuzzy problems exist extensively in realistic world. The dynamic fuzzy logic (DFL) programming language is to deal with dynamic fuzzy data. In order to implement DFL programming language, it should be firstly defined. In this paper, we give the denotational semantics of DFL programming language.
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