| Title of paper:
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Intuitionistic fuzzy estimation of a model of a thermoelectric cooling system
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| Author(s):
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| I. Belovski
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| Prof. Assen Zlatarov University, 1 Prof. Yakimov str., 8010 Bourgas, Bulgaria
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| ssotirov@btu.bg
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| A. Alexandrov
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| Technical University of Gabrovo, 4 H. Dimitar str., 5300 Gabrovo, Bulgaria
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| alex@tugab.bg
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| L. Staneva
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| Prof. Assen Zlatarov University, 1 Prof. Yakimov str., 8010 Bourgas, Bulgaria
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| S. Sotirov
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| Prof. Assen Zlatarov University, 1 Prof. Yakimov str., 8010 Bourgas, Bulgaria
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| Published in:
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"Notes on IFS", Volume 21, 2015, Number 5, pages 33–39
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| Download:
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 PDF (477 Kb, File info)
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| Abstract:
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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.
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| Keywords:
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Intuitionistic fuzzy set, Thermoelectric cooling systems, Neural networks.
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| AMS Classification:
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03E72.
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| References:
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| Citations:
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