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Fuzzy algorithms of problem solving

O.G. Chorayan (Kogan's Research Institute of Neurocybernetics, Department of Physiology, Rostov State University, Rostov on Don, Russia)
G.O. Chorayan (Kogan's Research Institute of Neurocybernetics, Department of Physiology, Rostov State University, Rostov on Don, Russia)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 December 2002

454

Abstract

Labyrinth test psychophysiological experiment is elaborated to analyze possible mechanism of the probabilistic prognosis forming and realizing in the condition of essential information uncertainty. The dynamics of the probabilistic prognosis construction and improvement during multi‐stage labyrinth test solving is established. This dynamics is characterized by considerable changes of the subjective probabilities and membership function quantitative indices apparently used in the fuzzy logic of mental activity being applied in decision‐making processes realized in the condition of uncertainty. The possible link between probabilistic prognosis efficiency and some functional peculiarities of cortical hemisphere asymmetry has also been studied.

Keywords

Citation

Chorayan, O.G. and Chorayan, G.O. (2002), "Fuzzy algorithms of problem solving", Kybernetes, Vol. 31 No. 9/10, pp. 1300-1305. https://doi.org/10.1108/03684920210443509

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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