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Issue:Intuitionistic fuzzy estimation of a model of a thermoelectric cooling system, presented by neural network

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Title of paper: Intuitionistic fuzzy estimation of a model of a thermoelectric cooling system
Author(s):
I. Belovski
Prof. Assen Zlatarov University, 1 Prof. Yakimov str., 8010 Bourgas, Bulgaria
A. Alexandrov
Technical University of Gabrovo, 4 H. Dimitar str., 5300 Gabrovo, Bulgaria
alex@tugab.bg
L. Staneva
Prof. Assen Zlatarov University, 1 Prof. Yakimov str., 8010 Bourgas, Bulgaria
S. Sotirov
Prof. Assen Zlatarov University, 1 Prof. Yakimov str., 8010 Bourgas, Bulgaria
ssotirov@btu.bg
Presented at: 11th International Workshop on Intuitionistic Fuzzy Sets, Banská Bystrica, Slovakia, 30 Oct. 2015
Published in: "Notes on IFS", Volume 21, 2015, Number 5, pages 33–39
Download:  PDF (477  Kb, Info)
Abstract: Neural networks are the tools that can be used for the modelling for many systems. Thermoelectric cooling systems (TCS), generated on the basis of Peltier elements, are very widely used in the military industry and computing, which require smooth but precise thermostating of objects and volumes. For the estimations between these two systems we use intuitionistic fuzzy set.
Keywords: Intuitionistic fuzzy set, Thermoelectric cooling systems, Neural networks.
AMS Classification: 03E72.
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