Previously, I was a fan of Fuzzy logic and the way it deals with uncertainty. I considered it as a complement of the probability theory. At that time, I thought that probability theory is a theory that deals with randomness kind of uncertainty (so I was a frequentist).
However, after reading something about Bayesian interpretation of probability theory (probability as a measure of plausibility of logical propositions as stated by E. T. Jaynes (see Probability Theory: The Logic of Science) and others), my loyality to the Fuzzy logic weakened. Now, I am not sure if this interpretation of probability is really talking about some other thing and if the probability theory is not a “better” and more plausible thing to do.
I should read more. I know there are several debates around this topic. However, I am not sure if they consider probability theory a Jaynes, Cox, and etc. do.
Anyway, I am going to read this paper:
Didier Dubois, Henri Prade, “ Fuzzy sets and probability : Misunderstandings, bridges and gaps,” Proceedings of the Second IEEE Conference on Fuzzy Systems
I’m so interested in Fuzzy Logic(and also Neural Networks) but unfortunately I haven’t had a chance to learn it … Because now I’m a High School Student and don’t have the knowledge and also the time to learn it …