Fuzzy Logic and Fuzzy Sets 


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

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th sem)Hai my name is Manu, i am studying B.E. (EEE , 8th sem). I know the concept of fuzzy logics, bt hoe to do it for FUZZY LOGIC BASED DIFFERENTIAL RELAY FOR POWER TRANSFORMER PROTECTION.? This i chosen as my B.E project. send me the details about this project.?


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kindly furnished me with what this topic is about i.e steps to achieve the project up to P.hD level ....etc

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ABSTRACT :


A fuzzy logic based adaptive power system stabilizer (PSS) is presented in this paper. The parameters of the fuzzy logic based PSS are tuned by neural networks. The system is divided into two subsystems, a recursive least square identifier with a variable forgetting factor for the generator and a fuzzy logic based adaptive controller to damp oscillations. The effectiveness of the proposed PSS in increasing the damping of local and inter area system; a two area 4 machine. The ANFIS PSS uses a zero order Sugeno type ....etc

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Summary
The main objectives of this paper are to perform fault analysis on an induction motor using both experiments and simulation, and to study failure identification techniques applied for condition monitoring of the motor and finally to design an On-line condition monitoring system with fuzzy logic controller using LabView. The work in this paper was divided into two phases. The phase one was concerned with the modeling of three-phase induction motor in three phase reference frame using Matlab/Simulink and designing an i ....etc

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please send me ieee projects on fuzzy logic 2012 ...
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Abstract

Prediction of an event at a time series is quite important for engineering and economy problems. Time series data mining combines the fields of time series analysis and data mining techniques. This method creates a set of methods that reveal hidden temporal patterns that are characteristic and predictive of time series events. Time series data mining examines the time series in a phase space. In this paper, a prediction algorithm using time series data mining based on fuzzy logic is proposed. Earthquake prediction has been ....etc

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ABSTRACT
It is required to cluster the images for finding groups of data together in many fields such as Marketing, Biology, Libraries, Insurance, City-Planning. The project involves the implementation of Fuzzy based information fusion for image segmentation. Here we first perform image segmentation on different cues. The Fuzzy-c-means clustering algorithm is used for segmentation of each cue space. In any field, where finding a group of similar region in an image is the task then the clustering technique should be u ....etc

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