Fuzzy Set Theory Ppt
Fuzzy Logic and Fuzzy Set Theorywith examples from. Fuzzy Logic Ppt 1. Fuzzy Logic and Fuzzy Set Theorywith examples from. Yuan“Fuzzy Set Theory.
No notes for slide. Linguistic Variables. Following Bezdek. Buckley: Experiment – ask many people if statement A, B, A AND B is true.
Then check the prior correlation coefficient. The result shows which method to use. The assumption is that with a large population model, the TRUE/FALSE values converge to the probability that a person would say that the statement is true. Following the work of Klir.
We obtain a negative value for lamda if the fuzzy measure of the singletons that span our set sum to more than unity. We have cancellation of evidence in this case. On the other hand, for (0.2+0.2+0.3).
. The problem that I have chosen is one that is solved by fuzzy sets. This is simply the problem that before we had Fuzzy sets there was no way to show uncertainty.
In 1965 LotfiZadeh introduced the idea of fuzzy sets. He decided that we needed a way to capture the idea of uncertainty in sets instead of ignoring them. The word “Fuzzy” means “Vagueness”. Fuzzyness occurs when the boundary of a piece of information is not clear-cut.
Introduction To Fuzzy Set Theory
Example:. Words like young, tall, bad, or low are fuzzy:.
Definition Of Fuzzy Set Theory
This is because there is no single quantitative value which defines the term tall. For some people, 7 feet is tall, and for others, 8 feet is tall. This means that the concept of tall has no clear boundary. The Fuzzy Set Theory is a set that is characterized by its membership function. It’s range is contained in the unit interval.