Fuzzy non-homogeneous Markov systems
type: Item
instance of: scholarly article
title: Fuzzy non-homogeneous Markov systems
zbMATH Open document ID: 1007.60094
DOI: 10.1023/A:1016164915513
author: M. A. Symeonaki
author: Giorgos Stamou
author: Spyros G. Tzafestas
published in: Applied Intelligence
publication date: 2002-09-18T00:00:00Z
review text: 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.
reviewed by: Krzysztof Piasecki
Mathematics Subject Classification ID: 60J99
Mathematics Subject Classification ID: 68T20
zbMATH DE Number: 1802432
zbMATH Keywords: non-homogeneous Markov systems
zbMATH Keywords: fuzzy input-output signals
MaRDI profile type: Publication
full work available at URL: a:1016164915513
OpenAlex ID: W1494799625
description: scientific article; zbMATH DE number 1802432