Reasoning with probabilistic inputs
Ronald R. Yager, Dimitar Filev · 2002
We suggest a new approach for reasoning in fuzzy models that have probabilistic inputs. It utilizes a belief structure interpretation of the probabilistic signal. We obtained result that is computationally effective and can be useful in the applications of fuzzy systems in a noisy environment.>