Fuzzy logic explanation along with characteristics,applications architecture explained briefly

1. Topic – Fuzzy Logic

2.  Definition of Fuzzy
Fuzzy – “not clear, distinct
or precise ;blurred ”
 Definition of Fuzzy Logic
A form of knowledge
representation suitable for notions
which cannot be defined
precisely , but which depend upon
their contexts.
What is Fuzzy Logic?

3. Architecture

4. It consists of four main components:
1.Rule Base : It stores if-then rules provided by the experts.
2.Fuzzification: It transforms the system inputs , which are crisp values into
fuzzy sets.
3.Inference Engine : It simulates the human reasoning process by making fuzzy
inference on the inputs and IF-THEN rules.
4.Defuzzification:It transforms the fuzzy set obtained by the inference engine
into a crisp value.

5. • Membership function is a graph
that defines how each point in the
input space is mapped to
membership value between 0 and
1.
• It allows us to quantify linguistic
terms and represent a fuzzy set
graphically.
• A membership function for a fuzzy
set A on the universe of discourse
X is defined as
µA:X
Membership Function
[0,1]

7. Characteristics
Following are the characteristics of Fuzzy Logic :
 Flexible in nature and can be easily implemented as well as
understood.
 Minimization of logics created by the human.
 Best method for finding the solution of those problems which are
suitable for approximate or uncertain reasoning.
 Everything is a matter of degree.
 Any system which is logical can be easily fuzzified.

8. Operations in Fuzzy Logic

11. Applications
Following are the different application areas:
 Businesses
 Automotive systems
 Defence
 Pattern Recognition and Classification
 Securities
 Finance
 Industries
 Microwave ovens , washing machines etc

12. PROS CONS
Works similarly as
the human
reasoning.
Easily
understandable.
Does not need a
large memory.
Widely used in all
fields of life.
Allows for
controlling the
control machines
Rules can be easily
added or deleted.
Run time is low
Understandable only
if simple
Possibilities are not
always accurate.
Some ways may
cause ambiguity.
Not suitable for
those that require
high accuracy.
Needs lot of testing
and validation.

13. Thank You