Results 281 to 290 of about 39,155 (317)
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Fuzzy control as a fuzzy deduction system
Fuzzy Sets and Systems, 2001The author gives a new and interesting translation strategy for linguistic control rules of the form: \textit{if} \(x\) is \(A\) \textit{then} \(y\) is \(B\). He reads them as: \( A(x) \land B(y) \to\text{ good} (x,y) \) with a new predicate \textit{good} expressing globally the control quality.
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Journal of Intelligent & Fuzzy Systems, 1994
In this article, we propose a multicriteria fuzzy control (MFC) based on fuzzy measures and fuzzy integrals. The basic idea underlying this approach is based on analyzing the source of attributes of the system output response and applying the fuzzy measure and integral theory to the existing fuzzy control.
Kwang-Choon Kim, Jong-Hwan Kim
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In this article, we propose a multicriteria fuzzy control (MFC) based on fuzzy measures and fuzzy integrals. The basic idea underlying this approach is based on analyzing the source of attributes of the system output response and applying the fuzzy measure and integral theory to the existing fuzzy control.
Kwang-Choon Kim, Jong-Hwan Kim
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Automatica, 1992
A collection b of fuzzy controllers is a universal fuzzy controller if and only if given any controllable process P it can also be controlled by some fuzzy controller in b. This paper identifies a new type of universal fuzzy controller.
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A collection b of fuzzy controllers is a universal fuzzy controller if and only if given any controllable process P it can also be controlled by some fuzzy controller in b. This paper identifies a new type of universal fuzzy controller.
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Defuzzification in Fuzzy Controllers
Journal of Intelligent & Fuzzy Systems, 1993An important subject in fuzzy control theory is tuning of a fuzzy controller. If one wants to tune a fuzzy controller, one can focus on the choice of rules, membership functions, number of input and output fuzzy sets and their degree of overlapping, implication, and connection operations, and defuzzification method.
Hans Hellendoorn, Christoph Thomas
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2009
Various kinds of fuzzy logic controllers (FLC) have been well investigated and widely used nowadays in industry, although there are rather few literatures being useful investigated the tuning of fuzzy controllers [1-4], the tuning strategy of fuzzy controllers has not been well established.
Qing-chun Li, De-yao Shen
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Various kinds of fuzzy logic controllers (FLC) have been well investigated and widely used nowadays in industry, although there are rather few literatures being useful investigated the tuning of fuzzy controllers [1-4], the tuning strategy of fuzzy controllers has not been well established.
Qing-chun Li, De-yao Shen
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About simple fuzzy control and fuzzy control based on fuzzy relational equations
Fuzzy Sets and Systems, 1999Abstract The paper discusses fuzzy controllers based on fuzzy relational equations in the case when fuzzy controllers' inputs are exact. Godelian implication and minimum function as t-norm are considered. Fuzzy relational equation with sup-t composition results in plausible control and adjoint equation results in the simple fuzzy control (min-max ...
Vladimir Pavlica, Dusan Petrovacki
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Information Sciences, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2004
The fuzzy controllers could be broadly used in control processes thanks to their good performance, one disadvantage is the problem of fuzzy controllers tuning, this implies the handling of a great quantity of variables like: the ranges of the membership functions, the shape of this functions, the percentage of overlap among the functions, the number of
Eduardo Gómez-Ramírez +1 more
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The fuzzy controllers could be broadly used in control processes thanks to their good performance, one disadvantage is the problem of fuzzy controllers tuning, this implies the handling of a great quantity of variables like: the ranges of the membership functions, the shape of this functions, the percentage of overlap among the functions, the number of
Eduardo Gómez-Ramírez +1 more
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Fuzzy Components for Fuzzy Control
IFAC Proceedings Volumes, 1994Abstract Fuzzy components are characterized by their ability to handle fuzzy symbolic information. This paper presents their use in fuzzy control. First, we present a general typology of fuzzy controllers. Fuzzy components like fuzzy sensors, fuzzy actuators and fuzzy inference components are then defined. The use of fuzzy components in fuzzy control
L. Foulloy, S. Galichet, J.F. Josserand
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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.
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