Fuzzy non-homogeneous Markov systems
The non-homogeneous Markov systems (NHMS) are generalized for the case when input-output signals are fuzzy. The main theorems for classical NHMS theory are reconsidered and proved for fuzzy case. In my opinion, the presented theory is very similar to the artificial intelligence theory described by means of neural nets.
scientific article; zbMATH DE number 1802432