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[PDF] Top 20 Evaluation of Bowler’s Performance in Cricket Using Fuzzy Logic

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Evaluation of Bowler’s Performance in Cricket Using Fuzzy Logic

Evaluation of Bowler’s Performance in Cricket Using Fuzzy Logic

... are fuzzy sets on universe of discourses x and y respectively; and f(x, y) is a mathematical ...with fuzzy values show the strength of the causal conditions between the ...A fuzzy cognitive map is a ... See full document

5

Student Performance Evaluation Using Data Mining Techniques for Engineering Education

Student Performance Evaluation Using Data Mining Techniques for Engineering Education

... not using the complicated matching operation of answer scripts, instead [10] a more generalized method using degree of satisfaction and extended fuzzy grade ...cricketer performance ... See full document

6

PERFORMANCE EVALUATION OF FUZZY LOGIC CONTROL OF INDUCTION MOTOR

PERFORMANCE EVALUATION OF FUZZY LOGIC CONTROL OF INDUCTION MOTOR

... paper, Fuzzy logic is used to control the speed of an induction motor under load ...defined fuzzy rules, which portray a nonchalant relationship between the two inputs; speed error (e) and change in ... See full document

10

Survey on Fuzzy Logic and Subjective Performance Evaluation of Supply Chain Management

Survey on Fuzzy Logic and Subjective Performance Evaluation of Supply Chain Management

... [17] using fuzzy theory of adaptive resonance ...applied fuzzy logic in aligning sequences for dynamic programming [18, 19], generating DNA sequencing [15], identifying the cluster genes from ... See full document

7

Performance Evaluation of Lane Detection Images Based on Fuzzy Logic

Performance Evaluation of Lane Detection Images Based on Fuzzy Logic

... i.e. Fuzzy Logic is used to improve straight lane as well as curved lane road ...and Fuzzy Logic by using various parameters recall, f-measure, p_recall, bit error rate ...by ... See full document

7

Evaluation of moving bed biofilm reactor (MBBR) by applying adaptive neuro-fuzzy inference systeme (ANFIS), radial basis function (RBF) and Fuzzy Regression Analysis

Evaluation of moving bed biofilm reactor (MBBR) by applying adaptive neuro-fuzzy inference systeme (ANFIS), radial basis function (RBF) and Fuzzy Regression Analysis

... Model: Fuzzy systems are rule- based expert systems based on fuzzy rules and fuzzy ...A fuzzy inference system (FIS) can be viewed as a real-time expert system used to model and utilize a ... See full document

14

Evaluation of Fuzzy Analytic Network Process Technique based Organizational Strategies

Evaluation of Fuzzy Analytic Network Process Technique based Organizational Strategies

... the performance of AMA's strategies, using balanced scorecard (BSC), analytic network, and fuzzy ...determined, using network analysis as fuzzy ...strategies performance of AMA ... See full document

6

Evaluation of Routing Protocol Performance
for ZigBee Network Using Fuzzy Logic in
MATLAB/TRUETIME

Evaluation of Routing Protocol Performance for ZigBee Network Using Fuzzy Logic in MATLAB/TRUETIME

... the performance of the ...viz. Fuzzy Logic, Artificial Neural Network, Artificial Neuro Fuzzy System, Genetic Algorithm is basically introduced now days to optimize the performance of ... See full document

6

Evaluation of Student Performance for Future Perspective in terms of Higher Studies using Fuzzy logic Approach

Evaluation of Student Performance for Future Perspective in terms of Higher Studies using Fuzzy logic Approach

... the fuzzy logic approach on the educational system lead to enhance the evaluation techniques of students so that better results can be ...the performance improvement in result ...academic ... See full document

6

Applications of Clustering Algorithms in Academic Performance Evaluation

Applications of Clustering Algorithms in Academic Performance Evaluation

... proposed fuzzy logic based ex- pert systems methods when results are evaluated from fuzzy expert ...rule, evaluation with fuzzy logic has great flexibility and ...based ... See full document

14

Subband Adaptive Shrinkage Function Using  Fuzzy Logic

Subband Adaptive Shrinkage Function Using  Fuzzy Logic

... few. Fuzzy Logic can be model as non linear functions of arbitrary complexity and it can handle problems for the unspecified or incomplete ...data. Fuzzy Logic provides a simple way to arrive ... See full document

7

Diagnosis of failures in a spark ignition engine using fuzzy logic

Diagnosis of failures in a spark ignition engine using fuzzy logic

... conducted using fuzzy logic with satisfactory ...a fuzzy system for detection and diagnosis of failures in the steam generation by using fuzzy logic and MATLAB ... See full document

6

Modeling and Performance Analysis of Microgrid Using Fuzzy Logic Controller

Modeling and Performance Analysis of Microgrid Using Fuzzy Logic Controller

... ABSTRACT: Fuzzy logic based voltage controller is proposed for hybrid generation ...are using solar energy system and wind energy ...generating performance & implementation of power ... See full document

5

Induction motor controller using fuzzy logic

Induction motor controller using fuzzy logic

... Fuzzy logic approach allows the designer to handle efficiently very complex closed-loop control problems, reducing in many cases, engineering time and ...capability. Fuzzy logic shoved very ... See full document

37

Voltage tracking of DC DC boost converter using Gaussian Fuzzy Logic Controller

Voltage tracking of DC DC boost converter using Gaussian Fuzzy Logic Controller

... After the inference step, the overall result is a fuzzy value. This result should be defuzzified to obtain a final crisp output. This is the purpose of the defuzzification component of a fuzzy logic ... See full document

38

A 
		comparative study of fuzzy logic controllers for BLDC motor drive

A comparative study of fuzzy logic controllers for BLDC motor drive

... high performance variable speed brushless dc motor drive is very important in all industrial ...high performance BLDC motor drive system must have good dynamic speed response, reference speed command ... See full document

9

Implementation of Online Portal for CV Analysis Using KNN Algorithm

Implementation of Online Portal for CV Analysis Using KNN Algorithm

... The end product will have the ability to accept or reject a job applicant based on two factors the requirements of the company should match the skills mentioned in the applicants CV and the other factor is the test ... See full document

5

Control of Input Multiplicity Process (Bioreactor) using Fuzzy logic Techniques

Control of Input Multiplicity Process (Bioreactor) using Fuzzy logic Techniques

... Regulatory response in productivity of fuzzy logic and conventional PI is shown in Fig. 14 for a step change in substrate feed concentration (Sf) from 20 to 18 g/l. This result shows that the faster than ... See full document

6

Title: Relevance of Neural Network in Fault Detection of Single Phase Induction Motor

Title: Relevance of Neural Network in Fault Detection of Single Phase Induction Motor

... Neuro fuzzy controller used in the advanced fuzzy logic fault detector for detecting the incipient motor faults in single phase induction ...of Fuzzy Systems and Neural Networks. From ... See full document

11

(T,N) and Residual Fuzzy Co-Implication in Dual Heyting Algebra with Applications

(T,N) and Residual Fuzzy Co-Implication in Dual Heyting Algebra with Applications

... Zadeh. Fuzzy and Neural Approaches in ...Weber, S., A General Concept of Fuzzy Connectives, Negations and Implications Based on T-norms and T-conorms, Fuzzy Sets and Systems 11, ... See full document

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