2007-01-08 23:53:54 · 5 answers · asked by sathya 1 in Computers & Internet ➔ Programming & Design
Fuzzy logic 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. To illustrate the difference, consider this scenario: Bob is in a house with two adjacent rooms: the kitchen and the dining room. In many cases, Bob's status within the set of things "in the kitchen" is completely plain: he's either "in the kitchen" or "not in the kitchen". What about when Bob stands in the doorway? He may be considered "partially in the kitchen". Quantifying this partial state yields a fuzzy set membership. With only his big toe in the dining room, we might say Bob is 99% "in the kitchen" and 1% "in the dining room", for instance. No event (like a coin toss) will resolve Bob to being completely "in the kitchen" or "not in the kitchen", as long as he's standing in that doorway. Fuzzy sets are based on vague definitions of sets, not randomness.
2007-01-09 00:03:41 · answer #1 · answered by Anonymous · 1⤊ 0⤋
Fuzzy logic is a special brand of artificial intelligence, in which a computer is able to make decisions even when it doesn't have all the information it needs (hence the decision is "fuzzy").
Wikipedia has a very good article on fuzzy logic that goes into the technical details of it. http://en.wikipedia.org/wiki/Fuzzy_logic
2007-01-09 07:58:53 · answer #2 · answered by Chip 7 · 1⤊ 1⤋
Here is a video of how to use fuzzy logic in MS Access;
https://www.youtube.com/watch?v=L0b58bbJamE&feature=youtu.be
2014-08-25 21:33:19 · answer #3 · answered by MagikSystems 2 · 0⤊ 0⤋
In real logic, something is either true or false. For example, "is x bigger than 3?". It either is, or it isn't.
Fuzzy logic doesn't take things as juss 'true' or 'false', it can be values in between too. A well known example is "is the weather cloudy?". It can be clear, it can be fully cloudy, it could be partly cloudy and partly sunny.
Is this clear enough?
2007-01-09 08:01:26 · answer #4 · answered by Yanni Depp 6 · 0⤊ 1⤋
It is an AI technique, often used for classification problems.
http://en.wikipedia.org/wiki/Fuzzy_logic
2007-01-09 07:58:15 · answer #5 · answered by Anonymous · 0⤊ 0⤋