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Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2002
Fuzzy Logic and the Internet: Web Intelligence.- Fuzzy Logic and Rank Aggregation for the World Wide Web.- Automatic Learning of Multiple Extended Boolean Queries by Multiobjective GA-P Algorithms.- An Approximate Querying Environment for XML Data.- Information Gathering on the Internet Using a Distributed Intelligent Agent Model with Multi-Granular ...
Vincenzo Loia +2 more
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Fuzzy Logic and the Internet: Web Intelligence.- Fuzzy Logic and Rank Aggregation for the World Wide Web.- Automatic Learning of Multiple Extended Boolean Queries by Multiobjective GA-P Algorithms.- An Approximate Querying Environment for XML Data.- Information Gathering on the Internet Using a Distributed Intelligent Agent Model with Multi-Granular ...
Vincenzo Loia +2 more
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Journal of Information Technology Research, 2008
This article explores the use of fuzzy logic in the medical field. While giving a comparison of classic and fuzzy logic we present the various uses of the applications made possible by fuzzy logic, focusing on diagnosis and treatment. The ever evolving technology making the line between medicine and technology thinner every year, is helping to make the
Andrew LaBrunda, Michelle LaBrunda
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This article explores the use of fuzzy logic in the medical field. While giving a comparison of classic and fuzzy logic we present the various uses of the applications made possible by fuzzy logic, focusing on diagnosis and treatment. The ever evolving technology making the line between medicine and technology thinner every year, is helping to make the
Andrew LaBrunda, Michelle LaBrunda
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Fuzzy logic or lukasiewicz logic: A clarification
Fuzzy Sets and Systems, 1994The paper discusses some issues on fuzzy and many-valued logic, since the difference between them seems not to be completely clear. Let us remark that the situation has changed after a thorough metamathematical analysis of fuzzy logic had been published [\textit{P.
Jianhua Chen, Sukhamay Kundu
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Fuzzy logic and fuzzy reasoning
1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1979The concepts of truth value restriction and fuzzy logical relation are used to give a general approach to fuzzy logic and also fuzzy reasoning involving propositions with imprecise or vague description.
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, 1977 Fuzzy logic differs from conventional logical systems in that it aims at providing a model for approximate rather than precise reasoning.
Lotfi A. Zadeh, Richard Bellman
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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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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 L. Hayward, Valerie J. 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 L. Hayward, Valerie J. Davidson
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Fuzzy Sets and Systems, 2004
An overview of recent results on compactness of fuzzy logics is given. The presented results are discussed on fuzzy logics with additional connectives. First of all, the ccmpactness of basic types of fuzzy logics equipped with the so-called Baaz delta are examined. Next, the fuzzy logics with involutive negation are investigated.
Petr Cintula, Petr Cintula, Mirko Navara
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An overview of recent results on compactness of fuzzy logics is given. The presented results are discussed on fuzzy logics with additional connectives. First of all, the ccmpactness of basic types of fuzzy logics equipped with the so-called Baaz delta are examined. Next, the fuzzy logics with involutive negation are investigated.
Petr Cintula, Petr Cintula, Mirko Navara
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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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Fuzzy Sets and Systems, 2001
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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