tell me about fuzzy logic..?

Question

i cant understand about its design.. i want to do project in it..

Answer 1

Follow the link below for a great discussion of fuzzy logic.

Examples where fuzzy logic is used:
Vehicle subsystems, such as ABS and cruise control
Air conditioners
Cameras
Rice cookers
Dishwashers
Elevators
Washing machines and other home appliances
Video game artificial intelligence
Language filters on chat rooms for filtering out offensive text
The Massive engine used in the Lord of the Rings films, which helped show huge scale armies create random, yet orderly movements


The link below offers greater details on all of these examples.

Answer 2

is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic. It can be thought of as the application side of fuzzy set theory dealing with well thought out real world expert values for a complex problem (Klir 1997).

Degrees of truth are often confused with probabilities. However, they are conceptually distinct; fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. For example, if a 100-ml glass contains 30 ml of water, then, for two fuzzy sets, Empty and Full, one might define the glass as being 0.7 empty and 0.3 full. Note that the concept of emptiness would be subjective and thus would depend on the observer or designer. Another designer might equally well design a set membership function where the glass would be considered full for all values down to 50 ml. A probabilistic setting would first define a scalar variable for the fullness of the glass, and second, conditional distributions describing the probability that someone would call the glass full given a specific fullness level. Note that the conditioning can be achieved by having a specific observer that randomly selects the label for the glass, a distribution over deterministic observers, or both. While fuzzy logic avoids talking about randomness in this context, this simplification at the same time obscures what is exactly meant by the statement the 'glass is 0.3 full'.

Answer 3

Fuzzy good judgment is a sort of multi-valued good judgment derived from fuzzy set concept to attend to reasoning this is approximate particularly than precise. the bushy good judgment variables might have a club value of no longer purely 0 or a million. purely as in fuzzy set concept with fuzzy good judgment the set club values can variety (inclusively) between 0 and a million, in fuzzy good judgment the diploma of reality of a assertion can variety between 0 and a million and is not any longer constrained to the two reality values {actual (a million), fake (0)} as in classic propositional good judgment.

Answer 4

It allows intermediate values to be formulated. Variables between hot/cold, wet/dry etc. http://www.aaai.org/AITopics/html/fuzzy.html Read this site.