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Fuzzy Logic membership function

Study of the Effect in the Output Membership Function When Tuning a Fuzzy Logic Controller

Study of the Effect in the Output Membership Function When Tuning a Fuzzy Logic Controller

... on fuzzy model of a process (iv) Based on learning From these four methods, only two will be used in this case which is based on learning and from the expert experiences and control engineering ...create ...

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Index Terms: Congestion Control, Fuzzy logic, load, Qual net, Membership function

Index Terms: Congestion Control, Fuzzy logic, load, Qual net, Membership function

... paper Fuzzy based Congestion control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership ...

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Determining Membership Function of Fuzzy Logic Using Genetic Algorithm

based on Max-Min Composition

Determining Membership Function of Fuzzy Logic Using Genetic Algorithm based on Max-Min Composition

... Membership function used in this study is triangular and trapezoidal MF, which is the simplest form of Membership ...a Fuzzy Relation in Fuzzy ...on fuzzy stating how strong the ...

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Designing an analog CMOS fuzzy logic controller for the inverted pendulum with a novel triangular membership function

Designing an analog CMOS fuzzy logic controller for the inverted pendulum with a novel triangular membership function

... presented a new way to design very simple and eective PID controllers. Unfortunately, the mentioned papers outlined above did not evaluate the performance of the proposed controller accurately and quantitatively and were ...

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Development of rotary crane system controller using fuzzy logic controller: membership function study

Development of rotary crane system controller using fuzzy logic controller: membership function study

... to fuzzy linguistic terms, membership functions is ...a membership function is used to quantify a linguistic ...of fuzzy logic is that a numerical valu does not have to be ...

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Software Effort Estimation using Fuzzy Logic Membership Functions

Software Effort Estimation using Fuzzy Logic Membership Functions

... various membership functions and measure mean square error for software effort ...Eight membership functions available in fuzzy logic are used and a comparison is made to find out which ...

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Pengaruh Jumlah Input dan Membership Function Fuzzy Logic Control pada Robot Keseimbangan Beroda Dua

Pengaruh Jumlah Input dan Membership Function Fuzzy Logic Control pada Robot Keseimbangan Beroda Dua

... Abstract In this paper, a dynamic model of two-wheeled balancing robot has been created, and the two types of FLC has been designed. The Mamdani methods used on both FLC. The first FLC uses pendulum tilt angle theta ( θ) ...

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Subband Adaptive Shrinkage Function Using  Fuzzy Logic

Subband Adaptive Shrinkage Function Using  Fuzzy Logic

... level. Fuzzy logic is a structured, powerful problem solving technique that approximates a function through linguistic ...A fuzzy membership function is an abstract which each ...

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Sqfemethod Under Uncertain Conditionsby Generating Fuzzy Membership Function

Sqfemethod Under Uncertain Conditionsby Generating Fuzzy Membership Function

... Generating Fuzzy Membership Function ...on fuzzy logic instead of bivalent logic,is presented to calculate ...The fuzzy set theory is used to add more accuracy and ...

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Fuzzy Logic Controller Design for A Robot Grasping System with Different Membership Functions

Fuzzy Logic Controller Design for A Robot Grasping System with Different Membership Functions

... of Fuzzy Logic Control to lift known objects considering an object ...of membership function to the grasping ...the membership function is known to be one of the factors that ...

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Fuzzy logic based 
		vehicle speed control performance considering different membership types

Fuzzy logic based vehicle speed control performance considering different membership types

... various membership types’ ...the Fuzzy Logic offers better performance compared to the conventional PID controller especially when rise and the settling time are ...without Fuzzy Logic ...

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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR 
INDUCTION MOTOR SPEED CONTROLLER

RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... Figure 2: Simulation Model Of Induction Motor Drives System 3. DESIGN OF FUZZY LOGIC CONTROL The structures of FLC is shown in Figure 3. The structures contain of fuzzification, inference engine, rule base ...

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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR 
INDUCTION MOTOR SPEED CONTROLLER

RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... The relationship among the optimal controller parameters and power system operating condition including system configuration is, in general, a nonlinear one. The present paper draws on the key property of the multilayer ...

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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR 
INDUCTION MOTOR SPEED CONTROLLER

RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... Top management have important performed to planning, design and implementation of information system optimally, so it can be eliminate the risk of failure and loss of strategic values of IS implementation. They always ...

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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR 
INDUCTION MOTOR SPEED CONTROLLER

RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... This process is usually called firing a transition. Tokens positioned in places represent the local atomic state by which it indicates the condition of the place it is held in. The function of tokens in places are ...

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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR 
INDUCTION MOTOR SPEED CONTROLLER

RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... Goal function = (5) Constraint : In general, cases of separable rarely satisfied, so the problem of classification that was often encountered, it was the nonseparable ...

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Using Fuzzy Logic Using Fuzzy Logic Using Fuzzy Logic Using Fuzzy Logic

Using Fuzzy Logic Using Fuzzy Logic Using Fuzzy Logic Using Fuzzy Logic

... Keywords: AODV, Black Hole Attack, Fuzzy Logic, MANET. 1. Introduction MANET is a mobile ad-hoc[1] network which dynamically set up temporary paths between mobile nodes which acts both as router and hosts ...

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Solving Fuzzy Linear Programming Problems with Piecewise Linear Membership Function

Solving Fuzzy Linear Programming Problems with Piecewise Linear Membership Function

... Received: January 15, 2009; Accepted: August 11, 2010 Abstract In this paper, we concentrate on linear programming problems in which both the right-hand side and the technological coefficients are fuzzy numbers. ...

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Fuzzy Medial Ideals of BCI Algebras with Interval Valued Membership Function

Fuzzy Medial Ideals of BCI Algebras with Interval Valued Membership Function

... interval–valued Fuzzy medial- ideals (briefly i-v fuzzy medial -ideal) in BCI-algebras is ...interval–valued fuzzy medial -ideals are defined and how the homomorphic images and pre-images of ...

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A Novel Fuzzy Image Enhancement using          S-Shaped Membership Function

A Novel Fuzzy Image Enhancement using S-Shaped Membership Function

... Keywords-Contrast enhancemen, Fuzzy sets, S-Shaped function, Fuzzy Image Enhancement, Over-enhancement. I. I NTRODUCTION Image enhancement is a process of improving the quality of image by improving ...

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