Abstract
This article is focused on the recognition and prediction of blockages in the fire stations using granular computing approach. Blockage refers to the situation when all fire units are out and a new incident occurs. The core of the method is an estimation of the expected return times for the fire brigades based on the granularisation of source data. This estimation, along with some other considerations allows for evaluation of the probability of the blockage.
The research presented in this paper has been supported by the individual research project awarded to the third author and realized within Homing Plus programme, edition 3/2011, of Foundation for Polish Science, co-financed from European Union, Regional Development Fund and by the grant 2011/01/D/ST6/06981 from the Polish National Science Centre.
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Krasuski, A., Kreński, K., Wasilewski, P., Łazowy, S. (2012). Granular Approach in Knowledge Discovery. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_51
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DOI: https://doi.org/10.1007/978-3-642-31900-6_51
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