WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 18, 2019
Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing
Author:
Abstract: In the paper the proposed dynamical model of the system is defined by fuzzy states and a transition function. The transition function is represented by conditional probabilities of respective fuzzy events. The criteria of optimization, as well as constraints, constitute fuzzy sets. The dynamical model has a form of a stochastic-fuzzy knowledge base, where the rules and weights of rules have been built by using large-scale data sets.