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Fuzzy Systems

Adaptive Neuro-Fuzzy Systems

Adaptive Neuro-Fuzzy Systems

... of fuzzy systems (Zadeh, 1965; Ruspini et ...specify fuzzy sets to partition all variables and a sufficient number of fuzzy rules to describe the input/output relation of the problem at ...a ...

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Modelling trip distribution with fuzzy and genetic fuzzy systems

Modelling trip distribution with fuzzy and genetic fuzzy systems

... of fuzzy and genetic fuzzy systems (GFSs) in trip distribution ...a fuzzy rule-based system (FRBS) and a genetic fuzzy rule-based system (GFRBS) in their consecutive studies to estimate ...

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Interpretability indices for hierarchical fuzzy systems

Interpretability indices for hierarchical fuzzy systems

... of Fuzzy Logic Systems (FLSs) is their interpretability [1], particularly in applications such as knowledge extraction and decision support [2], ...hierarchical fuzzy systems (HFSs) ...

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Piecewise Constant Controlled Linear Fuzzy
 Systems

Piecewise Constant Controlled Linear Fuzzy Systems

... [24] JH. Park, JS. Park, YC. Kwun, Controllability for the semilinear fuzzy integrodiffer- ential equations with nonlocal conditions, Fuzzy Systems and Knowledge Discovery. Lecture Notes in Computer ...

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Stability of Evolving Fuzzy Systems based on Data Clouds

Stability of Evolving Fuzzy Systems based on Data Clouds

... pre-trained systems have a satisfactory performance for online applications with nonsta- tionary and changeable behavior over ...evolving fuzzy systems (EFSs) [6]–[22] aiming at adapting system ...

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FUZZY SYSTEMS  DESIGN AND APPLICATIONS

FUZZY SYSTEMS DESIGN AND APPLICATIONS

... The fuzzy systems convert these rules to their mathematical ...way systems behave in the real world. Additional benefits of fuzzy logic include simplicity and its ...flexibility. Fuzzy ...

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Automatic context adaptation of fuzzy systems

Automatic context adaptation of fuzzy systems

... The first approaches to CA of fuzzy systems date back to mid 1990’s (Bas94; GG94). In (GG94), Gudwin and Gomide stated that the concept of context mainly relies on the idea of restriction. Indeed, the terms ...

173

Neuro-Fuzzy systems for Automatic Temperature Drying Aggregate

Neuro-Fuzzy systems for Automatic Temperature Drying Aggregate

... of fuzzy logic, which allows to operate with linguistic fuzzy ...robust fuzzy control system temperature mode of a chemical reactor, which is invariant to external disturbances and ...

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Compiler design for Fuzzy Classifier Systems

Compiler design for Fuzzy Classifier Systems

... The main objective of this paper is to develop a rule compiler that can be used by Expert Systems and FCS. This is achieved through the utilization of the ANTLR language (Another Tool for Language Recognition) [ 2 ...

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Fuzzy Controllers for Electrical Power Steering Systems

Fuzzy Controllers for Electrical Power Steering Systems

... of fuzzy systems to play the role of EPAS ...the fuzzy controller is almost identical with that of the original H ∞ ...appropriate fuzzy parameters like the number and shape of membership ...

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Bisimulations for Fuzzy Transition Systems revisited

Bisimulations for Fuzzy Transition Systems revisited

... for fuzzy systems have received much attention re- ...a fuzzy relation on the state space, which shows the degree to which one state is bisimilar to another ...two systems are equivalent from ...

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Sensitivity of Fuzzy Nonautonomous Dynamical Systems

Sensitivity of Fuzzy Nonautonomous Dynamical Systems

... Abstract. This paper is devoted to a study of relations between two forms of sensitivity of nonau- tonomous dynamical system and its induced fuzzy systems. More specially, we study strong sen- sitivity and ...

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Fuzzy Expert Systems and Fuzzy Reasoning   William Siler pdf

Fuzzy Expert Systems and Fuzzy Reasoning William Siler pdf

... of fuzzy mathematics is highly advanced; with the exception of fuzzy control systems, the theory behind fuzzy expert systems for other than numeric outputs is quite ill devel- ...the ...

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An application of fuzzy logic in measuring a systems eectiveness

An application of fuzzy logic in measuring a systems eectiveness

... of fuzzy logic to develop a general model representing several processes in a systems operation characterized by a degree of vagueness and/or ...a fuzzy systems effectiveness connected to our ...

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Fuzzy synchronization of the 3D chaotic systems using belbic

Fuzzy synchronization of the 3D chaotic systems using belbic

... presents fuzzy model-based designs for synchronization of new chaotic ...T–S fuzzy models for new chaotic systems are exactly ...this fuzzy chaotic system is ...

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Development of a Fuzzy Logic Controller for Industrial Conveyor Systems

Development of a Fuzzy Logic Controller for Industrial Conveyor Systems

... The triangular and trapezoidal membership functions are often used because these curves make it flexible and easy to represent the proposed ideas and facts of the model, and with less computational time requirement. Then ...

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APPLICATION OF INTUITIONISTIC FUZZY MATRIX IN DOCUMENT RETRIEVAL SYSTEMS

APPLICATION OF INTUITIONISTIC FUZZY MATRIX IN DOCUMENT RETRIEVAL SYSTEMS

... Intuitionistic Fuzzy Matrix (IFM) is determined in terms of its membership parts and its non-membership parts, which leads to the definition of transitive closure of the concept ...Intuitionistic Fuzzy ...

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Fuzzy Control of Fuel Cell Distributed Generation Systems

Fuzzy Control of Fuel Cell Distributed Generation Systems

... The unregulated output voltage of the FC is fed to the dc/dc boost converter. Being unregulated it has to be adjusted to a constant average value (regulated dc voltage) by adjusting the duty ratio to the required value. ...

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Fuzzy Based Intrusion Detection Systems in MANET

Fuzzy Based Intrusion Detection Systems in MANET

... The proposed method not only identifies the attack, it also identifies the range and extension of attack. This proposed system provides the noble solution and identify the attack is clearer by using the fuzzy ...

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Design of an Adaptive Fuzzy Controller for Antilock Brake Systems

Design of an Adaptive Fuzzy Controller for Antilock Brake Systems

... [11], fuzzy control [12], fuzzy sliding mode control [13, 14], adaptive backstepping control [15], output feedback control [16], dynamic programming [6] and PID control ...

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