Anna Walaszek-Babiszewska, "Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing," WSEAS Transactions on Systems, vol. 18, pp. 144-148, 2019, DOI:
Anna Walaszek-Babiszewska. Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing.
WSEAS Transactions on Systems. 2019;18:144-148.
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.
Pages: 144-148 WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 18, 2019, Art. #18 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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