GOVT. ENGINEERING COLLEGE BIKANER

SEMINAR ON

Fuzzy Logic

Madan lal kumawat 13CEBXX640Presented by :-

OVERVIEW

Introduction History of Fuzzy Logic What is Fuzzy Logic ? How does Fuzzy Logic Work ? Advantages Conclusion

INTRODUCTION

Fuzzy logic has rapidly become one of the most successful of today's technologies for developing sophisticated control systems. The reason for which is very simple.

A form of knowledge representation suitable for notions.

History of Fuzzy Logic 1965 - Dr. Lotfi A. Zadeh, a professor of

UC Berkeley in California, soon to be known as the founder of fuzzy logic.

1972 - Professor Toshire Terano , Organized the world's first working group on fuzzy systems.

1980 – F.L. Smidth & Co. , First to market fuzzy expert systems

History of Fuzzy Logic

1981- 1987- Industrial application of fuzzy logic in Japan and Europe .

1987 – Present : Fuzzy Boom

What is Fuzzy Logic ?

Fuzzy logic is a superset of Boolean logic that has been extended to handle the concept of partial truth- truth values between "completely true" and "completely false".

Problem-solving control system methodology that lends itself to implementation in systems .

How does Fuzzy Logic Work

A paradigm is a set of rules and regulations which defines boundaries and tells us what to do to be successful in solving problems within these boundaries. FL requires some numerical parameters in order to operate .

Continue…….

We shall say that people taller than or equal to 6 feet are tall. This set can be represented graphically as follows -

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The fuzzy set approach to the set of tall men provides a much better representation of the tallness of a person. The set, shown below, is defined by a continuously -

Fuzzy Boom

1989s in Japan an introduction gives the applications of fuzzy sets to process control and expert systems, the title makes use of the expression “fuzzy boom” which is often employed in Japan for describing the present blossoming of a great number of practical applications of fuzzy sets .

Advantages

It is able to be applied to control systems and other applications in order to improve the efficiency and simplicity of the design process.

Mimics human control logic Modified and tweaked easily Inherently robust

Conclusion

Fuzzy logic provides an alternative way to represent linguistic and subjective attributes of the real world in computing.

It is able to be applied to control systems and other applications in order to improve the efficiency and simplicity of the design process.

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