"Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false." Can someone explain how this is different than bayesian statistics?
Assuming that the die is fair, this is not possible in the real world.
Bayesian probability [1] states that this is not possible as expected.
``` P(land1 ^ land6) = P(land1) x P(land6 | land1) = 1/6 x 0 = 0 ```
However, fuzzy logic [1] results in an unintuitive result.
``` T(land1 ^ land6) = min(land1, land6) = min(1/6, 1/6) = 0 ```
[1] https://www.mathsisfun.com/data/bayes-theorem.html [2] http://www.sfu.ca/~jeffpell/papers/FuzzyLogic77.pdf