Granular approach in knowledge discovery: real time blockage management in fire service

  • Authors:

  • Adam Krasuski;Karol Kreński;Piotr Wasilewski;Stanisław Łazowy

  • Affiliations:

  • The Main School of Fire Service, Warsaw, Poland,Institute of Mathematics, University of Warsaw, Warsaw, Poland;The Main School of Fire Service, Warsaw, Poland;Institute of Mathematics, University of Warsaw, Warsaw, Poland;The Main School of Fire Service, Warsaw, Poland

  • Venue:
  • RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
  • Year:
  • 2012

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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.