Results 251 to 260 of about 1,024,428 (300)
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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1993
This paper mainly consists of a review of some basic tools of Inexact Inference, its reduction to classical logic and its cautious use of Fuzzy Logic. Those tools are the concept of Conditional Relation, its greatest case of Material Conditional and the concept of Logical-States as possible worlds of "true" elements. Some recent results characterizing
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This paper mainly consists of a review of some basic tools of Inexact Inference, its reduction to classical logic and its cautious use of Fuzzy Logic. Those tools are the concept of Conditional Relation, its greatest case of Material Conditional and the concept of Logical-States as possible worlds of "true" elements. Some recent results characterizing
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On contradiction in fuzzy logic
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1999We clarify which space of functions in [0, 1] E would be reasonable in fuzzy logic in order to avoid self-contradiction.
Enric Trillas, Claudi Alsina, Joan Jacas
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The Analyst, 2003
Fuzzy logic is a modeling method well suited for the control of complex and non-linear systems. This paper illustrates some of the power of fuzzy logic through a simple control example. For the analytical chemist, fuzzy logic incorporates imprecision from measurement noise as well as from linguistic process descriptions to produce operational control ...
Gordon, Hayward, Valerie, Davidson
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Fuzzy logic is a modeling method well suited for the control of complex and non-linear systems. This paper illustrates some of the power of fuzzy logic through a simple control example. For the analytical chemist, fuzzy logic incorporates imprecision from measurement noise as well as from linguistic process descriptions to produce operational control ...
Gordon, Hayward, Valerie, Davidson
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International Journal of Pattern Recognition and Artificial Intelligence, 1988
The concept of fuzzy equality and its related contents to the first order predicate calculus are discussed. It is proved that, in the viewpoint of computational logic, resolution and paramodulation mechanisms are complete and sound for fuzzy logic with equality. Term rewriting system, that is the set of left to right directional equations, provides an
Churn-Jung Liau, Bertrand I-Peng Lin
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The concept of fuzzy equality and its related contents to the first order predicate calculus are discussed. It is proved that, in the viewpoint of computational logic, resolution and paramodulation mechanisms are complete and sound for fuzzy logic with equality. Term rewriting system, that is the set of left to right directional equations, provides an
Churn-Jung Liau, Bertrand I-Peng Lin
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Fuzzy Logic Programming and Fuzzy Control
Studia Logica, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy Sets and Systems, 1999
Using a new family of t-norms and t-conorms we show that fuzzy logic, whose truth values are rational numbers in [0,1], obeys the elementary laws of classical logic (those given in Section 4).
James J. Buckley, William Siler
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Using a new family of t-norms and t-conorms we show that fuzzy logic, whose truth values are rational numbers in [0,1], obeys the elementary laws of classical logic (those given in Section 4).
James J. Buckley, William Siler
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Bioinformatics and Fuzzy Logic
2006 IEEE International Conference on Fuzzy Systems, 2006Many biological systems and objects are intrinsically fuzzy. Fuzzy set theory and fuzzy logic are ideal frameworks for describing some biological systems/objects and providing suitable computational methods for a widely range of bioinformatics problems.
Dong Xu 0002 +3 more
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Journal of Mathematical Sciences, 2005
An approach to the specification of discrete dynamical systems with non-quantative representation of uncertainty in their structure is developed. The main goal of the paper is to construct a logical calculus which can serve as a basis for specification languages for uncertain dynamical systems (fuzzy modal logic).
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An approach to the specification of discrete dynamical systems with non-quantative representation of uncertainty in their structure is developed. The main goal of the paper is to construct a logical calculus which can serve as a basis for specification languages for uncertain dynamical systems (fuzzy modal logic).
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Journal of Functional Programming, 1998
In this paper we aim to give an introduction to fuzzy logic using the language Haskell to implement our solutions. We shall see how the high-level, declarative nature of a functional language allows us to implement easily and efficiently solutions to problems using fuzzy logic and, in particular, how the presence of functions as first-class ...
Gary Meehan, Mike Joy
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In this paper we aim to give an introduction to fuzzy logic using the language Haskell to implement our solutions. We shall see how the high-level, declarative nature of a functional language allows us to implement easily and efficiently solutions to problems using fuzzy logic and, in particular, how the presence of functions as first-class ...
Gary Meehan, Mike Joy
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Soft Computing, 2001
The uncertain and inexact nature of the chemical reactions used to implement DNA computations can be turned into an advantage for implementing robust soft computing systems. The key feature of DNA hybridization that makes it appropriate for fuzzy computing is the uncertainty and incompleteness in the formation of a double-stranded duplex from single ...
Russell J. Deaton, Max H. Garzon
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The uncertain and inexact nature of the chemical reactions used to implement DNA computations can be turned into an advantage for implementing robust soft computing systems. The key feature of DNA hybridization that makes it appropriate for fuzzy computing is the uncertainty and incompleteness in the formation of a double-stranded duplex from single ...
Russell J. Deaton, Max H. Garzon
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