The Experts below are selected from a list of 390 Experts worldwide ranked by ideXlab platform

Víctor Pablos Ceruelo - One of the best experts on this subject based on the ideXlab platform.

  • Multi-adjoint Fuzzy Logic Programming with Defaults and Constructive Answers
    2012
    Co-Authors: Hannes Strass, Susana Munoz-hernandez, Víctor Pablos Ceruelo
    Abstract:

    In this paper we present the semantics of RFuzzy, a fuzzy Logic Programming framework that represents truth values using real numbers from the unit interval. RFuzzy provides some useful extensions: default values to represent missing information, and typed arguments to intuitively Restrict Predicate domains. Together, they allow the system to provide constructive answers when querying for individuals satisfying constraints over the truth value in addition to the classical queries over the own truth value

  • Operational Semantics for a Fuzzy Logic Programming System with Defaults and Constructive Answers
    2010
    Co-Authors: Hannes Strass, Susana Munoz-hernandez, Víctor Pablos Ceruelo
    Abstract:

    Abstract — In this paper we present the operational semantics of RFuzzy, a fuzzy Logic Programming framework that represents thruth values using real numbers from the unit interval. RFuzzy provides some useful extensions: default values to represent missing information, and typed terms to intuitively Restrict Predicate domains. Together, they allow the system to give constructive answers in addition to truth values. RFuzzy does not confine to a particular Fuzzy Logic, but aims at being as general as possible by using the notion of aggregation operators

Hannes Strass - One of the best experts on this subject based on the ideXlab platform.

  • Multi-adjoint Fuzzy Logic Programming with Defaults and Constructive Answers
    2012
    Co-Authors: Hannes Strass, Susana Munoz-hernandez, Víctor Pablos Ceruelo
    Abstract:

    In this paper we present the semantics of RFuzzy, a fuzzy Logic Programming framework that represents truth values using real numbers from the unit interval. RFuzzy provides some useful extensions: default values to represent missing information, and typed arguments to intuitively Restrict Predicate domains. Together, they allow the system to provide constructive answers when querying for individuals satisfying constraints over the truth value in addition to the classical queries over the own truth value

  • Operational Semantics for a Fuzzy Logic Programming System with Defaults and Constructive Answers
    2010
    Co-Authors: Hannes Strass, Susana Munoz-hernandez, Víctor Pablos Ceruelo
    Abstract:

    Abstract — In this paper we present the operational semantics of RFuzzy, a fuzzy Logic Programming framework that represents thruth values using real numbers from the unit interval. RFuzzy provides some useful extensions: default values to represent missing information, and typed terms to intuitively Restrict Predicate domains. Together, they allow the system to give constructive answers in addition to truth values. RFuzzy does not confine to a particular Fuzzy Logic, but aims at being as general as possible by using the notion of aggregation operators

Susana Munoz-hernandez - One of the best experts on this subject based on the ideXlab platform.

  • Multi-adjoint Fuzzy Logic Programming with Defaults and Constructive Answers
    2012
    Co-Authors: Hannes Strass, Susana Munoz-hernandez, Víctor Pablos Ceruelo
    Abstract:

    In this paper we present the semantics of RFuzzy, a fuzzy Logic Programming framework that represents truth values using real numbers from the unit interval. RFuzzy provides some useful extensions: default values to represent missing information, and typed arguments to intuitively Restrict Predicate domains. Together, they allow the system to provide constructive answers when querying for individuals satisfying constraints over the truth value in addition to the classical queries over the own truth value

  • Operational Semantics for a Fuzzy Logic Programming System with Defaults and Constructive Answers
    2010
    Co-Authors: Hannes Strass, Susana Munoz-hernandez, Víctor Pablos Ceruelo
    Abstract:

    Abstract — In this paper we present the operational semantics of RFuzzy, a fuzzy Logic Programming framework that represents thruth values using real numbers from the unit interval. RFuzzy provides some useful extensions: default values to represent missing information, and typed terms to intuitively Restrict Predicate domains. Together, they allow the system to give constructive answers in addition to truth values. RFuzzy does not confine to a particular Fuzzy Logic, but aims at being as general as possible by using the notion of aggregation operators