| Title of paper:
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Intuitionistic fuzzy Multilayer Perceptron as a part of integrated systems for early forest-fire detection
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| Author(s):
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| Sotir Sotirov
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| Prof. Asen Zlatarov University, “Prof. Yakimov” Blvd., Bourgas 8000, Bulgaria
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| ssotirov@btu.bg
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| Ivelina Vardeva
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| Prof. Asen Zlatarov University, “Prof. Yakimov” Blvd., Bourgas 8000, Bulgaria
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| ivardeva@gmail.com
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| Maciej Krawczak
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| Higher School of Applied Informatics and Management, Newelska 6, 01-447 Warsaw, Poland
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| krawczak@ibspan.waw.pl
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| Presented at:
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17th International Conference on Intuitionistic Fuzzy Sets, 1–2 November 2013, Sofia, Bulgaria
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| Published in:
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"Notes on IFS", Volume 19, 2013, Number 3, pages 81—89
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| Download:
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 PDF (294 Kb, File info)
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| Abstract:
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In this paper we present intuitionistic fuzzy neural network as a part of generalized net model of multi-sensorial integrated systems for early detection of forest fires. Many information and data sources have been used, including infrared images, visual images, sensors data, and geographic data bases. One of the main purpose is using of the intelligent methods for decision when must alarm starts. Here we use intuitionistic fuzzy neural networks, as a one of the possibilities of intelligent systems.
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| Keywords:
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Intuitionistic fuzzy set, Index Matrix, Modelling, Neural network.
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| AMS Classification:
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03E72
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| References:
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