0562528 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Figueroa-Garcia, J.C. - Neruda, Roman - Chalco-Cano, Y.
An Experimental Study on Fuzzy Markov Chains Under Mn Generalized Mean Relation.
Applications of Fuzzy Techniques: Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS 2022. Cham: Springer, 2023 - (Dick, S.; Kreinovich, V.; Lingras, P.), s. 63-72. Lecture Notes in Networks and Systems. ISBN 978-3-031-16037-0. ISSN 2367-3370.
[NAFIPS 2022: Annual Conference of the North American Fuzzy Information Processing Society /. Halifax (CA), 31.05.2022-03.06.2022]
Institucionální podpora: RVO:67985807
Klíčová slova: Markov chains * Fuzzy sets * Fuzzy Markov chains * Generalized mean relation
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-16038-7_7

This chapter presents an experimental study about the use of the Mn generalized mean for the computation of the steady state of a fuzzy Markov chain and its close relationship to the probabilistic sum–product relation. The obtained evidence shows that the Mn generalized mean leads to obtain a very similar results than its probabilistic counterpart i.e. to have aperiodic limiting distributions and convergence in finite–time unlike the fuzzy max−min relation which mostly leads to non–unique solutions i.e. periodic limiting distributions.
Trvalý link: https://hdl.handle.net/11104/0334845