Results 1 - 10 of 17

ANY-TIME FUZZY CONTROLLER

by Edward Shmukler, Dr. Gal, A. Kaminka , 2006
"... Fuzzy logic has been successfully applied in various fields. However, as fuzzy controllers increase in size and complexity, the number of control rules increases exponentially and real-time behavior becomes more difficult. This thesis introduces an any-time fuzzy controller. Much work has been done ..."
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to optimize and speed up a controlling process, however none of the existing solutions provides an any-time behavior. This study first introduces several constraints that should be satisfied in order to guarantee an any-time behavior. These constraints are related to aggregation and defuzzification phases

ANY-TIME FUZZY CONTROLLER

by Edward Shmukler , 2006
"... Fuzzy logic has been successfully applied in various fields. However, as fuzzy controllers increase in size and complexity, the number of control rules increases exponentially and real-time behavior becomes more difficult. This thesis introduces an any-time fuzzy controller. Much work has been done ..."
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to optimize and speed up a controlling process, however none of the existing solutions provides an any-time behavior. This study first introduces several constraints that should be satisfied in order to guarantee an any-time behavior. These constraints are related to aggregation and defuzzification phases

Fuzzy Stochastic Linear Programming Problems With Uncertainty Probability Distribution

by Abdulqader Othman Hamadameen , Zaitul Marlizawati Zainuddin , 2013
"... Abstract: We focused in this study on fuzzy stochastic linear programming problems, in which the coefficientsof the objective, constraint and right hand side parameters are triangular fuzzy random variables under uncertainty probability distribution. Two-phase solution strategy of the problem have ..."
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Abstract: We focused in this study on fuzzy stochastic linear programming problems, in which the coefficientsof the objective, constraint and right hand side parameters are triangular fuzzy random variables under uncertainty probability distribution. Two-phase solution strategy of the problem have

A Self-Organizing Fuzzy Controller With A Fixed Maximum Number Of Rules And An Adaptive Similarity Factor

by Joana Matos Dias, António Dourado Correia , 1999
"... This paper proposes a Self Organizing Fuzzy Controller with a broad generality for minimum phase and stable systems. The controller learns the rules on-line with a minimum knowledge about the process. The rule base is built and permanently actualized from input - output real time data and has a fixe ..."
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This paper proposes a Self Organizing Fuzzy Controller with a broad generality for minimum phase and stable systems. The controller learns the rules on-line with a minimum knowledge about the process. The rule base is built and permanently actualized from input - output real time data and has a

Interval Type-2 Fuzzy Logic Toolbox

by Juan R. Castro, Oscar Castillo, Luis G. Martínez
"... Abstract—This paper presents the development and design of a graphical user interface and a command line programming toolbox for construction, edition and observation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System Toolbox (IT2FLS), is an environment for interval t ..."
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type-2 fuzzy logic inference system development. Tools that cover the different phases of the fuzzy system design process, from the initial description phase, to the final implementation phase, build the Toolbox. The Toolbox’s best qualities are the capacity to develop complex systems

REFERENCES

by Rasoul Dadashzadeh, S. B. Nimse
"... Abstract. In this paper, we concentrate on two kinds of fuzzy linear program-ming problems: linear programming problems with only fuzzy technological coef-ficients and linear programming problems in which both the right-hand side and technological coefficients are fuzzy number. We consider here only ..."
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only the case of fuzzy numbers with linear membership functions. The symmetric method of Bell-man and Zadeh [1] is used for a defuzzification of these problems (min operator). Two-phase approach had been proposed to generate an efficient solution for the linear programming problem. In this study, we

On-line Learning Based on Adaptive Similarity and Fixed Size Rule Base

by Joana Matos Dias, António Dourado Correia
"... : In this paper a methodology is developed to control linear and nonlinear processes using a fuzzy approach with the main assumption that the output of the process is monotone with respect to the input. Beginning with an empty rule base, a fuzzy model is on-line built. The rule base has a fixed numb ..."
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number of rules determined priori and not depending on the complexity of the process. The controller experiences a learning phase during which it learns how to control the process, that is repeated whenever there is some change in the process behaviour. The inference and defuzzification mechanisms have

Image Enhancement Using Fuzzy Technique

by Tarun Mahashwari, Amit Asthana
"... Abstract — Image enhancement means to enrich the perception of images for human viewers. It can reduce impulsive noise, sharpen the edges with the help of different image enhancement techniques. Fuzzy techniques can manage the uncertainty and imperfection of an image which can be represented as a fu ..."
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fuzzy set. Fuzzy logic can be used to process human knowledge in the form of fuzzy if-then rules. The accumulation of all these approaches come up to the theory of fuzzy image processing, which is divided into 3 phases: Image fuzzification, membership values modification, and image defuzzification

Evaluation of Fuzzy Inference System in Image Processing

by Jaideep Kaur, Daviet Jalandhar, Poonam Sethi, Daviet Jalandhar
"... This paper reports the evaluation of Fuzzy logic implemented on image, in MATLAB environment, used to implement different functions. In this paper, the in-built functions of MATLAB are implemented on image and the resultant images are displayed using different functions. Fuzzy inference system has b ..."
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development. Tools that cover the different phases of the fuzzy system design process, from the initial description phase, to the final implementation phase, build the Toolbox. The Toolbox's best qualities are the capacity to develop complex systems and the flexibility that permits the user to extend

SOP TRANSACTIONS ON POWER TRANSMISSION AND SMART GRID In Press SOP TRANSACTIONS ON POWER TRANSMISSION AND SMART GRID A Fuzzy V/F Control for High Performance Induction Motors Drive

by G. El-saady, El-nobi A. Ibrahim, M. Elbesealy
"... The constant Voltage-Frequency ratio (V/F) scalar control method is widely used in industries as speed control method for three-phase Induction Motors Drive (IMD). This paper presents an implementation of fuzzy logic-based controller (FLC) to improve the performance of V/F control for three-phase IM ..."
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The constant Voltage-Frequency ratio (V/F) scalar control method is widely used in industries as speed control method for three-phase Induction Motors Drive (IMD). This paper presents an implementation of fuzzy logic-based controller (FLC) to improve the performance of V/F control for three-phase
Results 1 - 10 of 17