Fuzzy logic has rapidly become one of the most successful technology .

2. OVERVIEW
 Introduction
 History of Fuzzy Logic
 What is Fuzzy Logic ?
 How does Fuzzy Logic Work ?
 Advantages
 Conclusion

3. 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.

4. 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

5. History of Fuzzy Logic
 1981- 1987- Industrial application of
fuzzy logic in Japan and Europe .
 1987 – Present : Fuzzy Boom

6. 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 .

7. 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 .

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

9. Continue…….
 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 -

10. 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 .

11. 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

12. 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.