Results 291 to 300 of about 354,343 (344)
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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 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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Fuzzy Logic Programming and Fuzzy Control
Studia Logica, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nursing Philosophy, 2003
Abstract In empiricism, there are only two answers for a question: black or white. Yet, subjective meanings of human behaviours and responses toward health and illness cannot be simply explained with black and white. Gray zones are needed because they are characterized by complexity and require a contextual understanding. In this paper, we present and
Eun-Ok, Im, Wonshik, Chee
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Abstract In empiricism, there are only two answers for a question: black or white. Yet, subjective meanings of human behaviours and responses toward health and illness cannot be simply explained with black and white. Gray zones are needed because they are characterized by complexity and require a contextual understanding. In this paper, we present and
Eun-Ok, Im, Wonshik, Chee
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New Mathematics and Natural Computation, 2006 Fuzzy logic is extended toward dynamic adaptation of the degree of fuzziness. The motivation is to explain the process of learning as a joint model improvement and fuzziness reduction. A learning system with fuzzy models is introduced. Initially, the system is in a highly fuzzy state of uncertain knowledge, and it dynamically evolves into a low-fuzzy ...
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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.
Kundu, Sukhamay, Chen, Jianhua
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fuzzy logic or fuzzy application? a response to Stockemer’s ‘fuzzy set or fuzzy logic?
European Political Science, 2016In a recent article in this journal, Stockemer characterizes fuzzy-set Qualitative Comparative Analysis (fsQCA) in comparison with Ordinary Least Squares regression as a ‘poor methodological choice’ because of its ‘suboptimal nature’ for the study of descriptive female representation in national assemblies across the globe.
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Fuzzy Logics and Fuzzy Model Theory
Algebra and Logic, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pal'chunov, D. E., Yakhyaeva, G. E.
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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 Biotechnology, 1992
This paper describes a fuzzy sets method which is very useful for handling uncertainties and essential for knowledge acquisition of a human expert. Kinetics of a reactor is often complex and not trivial to describe by mathematical equations. Reactor control by traditional control technology is therefore difficult. A novel technology is presented.
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This paper describes a fuzzy sets method which is very useful for handling uncertainties and essential for knowledge acquisition of a human expert. Kinetics of a reactor is often complex and not trivial to describe by mathematical equations. Reactor control by traditional control technology is therefore difficult. A novel technology is presented.
openaire +2 more sources