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FUZZY LOGIC

FOR OPTIMIZATION OF A PROBLEM

By

K.Harish Babu

Roll No: 1109508

M.Tech – I Semester

Industrial Engineering

Department of Mechanical Engineering

Sri Venkateswara University College of Engineering

Tirupathi-517 502 (A.P.) INDIA

Introduction:

This is the first in a series of six articles intended to share information and experience in the realm of fuzzy logic (FL) and its application. This article will introduce FL. Through the course of this article series a simple implementation will be explained in detail. Each article will include additional outside resource reference for interested readers.

Fuzzy logic is a problem solving control methodology that lends itself to implementation in system ranging from simple, small, embedded microcontollers to large, networked, multi channel computers or work station based data acquisition and control system. It can be implemented in software, hardware or both. It provides a simple way for arriving at a definite conclusion based upon ambiguous, imprecise or missing input information.

Fuzzy logic requires some numerical parameters in order to operate such as what is considered significant error and significant rate of change of error, but exact values of these numbers are usually unless very responsive performance is required in which case empirical tuning would determine them