Affiliations: [a] The Main School of Fire Service, Sƚowackiego, Warsaw, Poland | [b] Institute of Mathematics, The University of Warsaw, Warsaw, Poland
Corresponding author: Karol Kreński, The Main School of Fire Service, Sƚowackiego 52/54, 01-629 Warsaw, Poland. E-mail:[email protected]
Abstract: We present a proposition for an architecture of a platform for fire & rescue Incident Data Reporting System (IDRS).
We propose to extend the current, simple functionality of such systems with knowledge that is a result of using semantic background of the analyzed phenomena. We discuss how to build and tune practically meaningful models of processes
by means of granules, approximating their states and instances. We discuss
how the incorporation of granular paradigm in the process of modelling and knowledge discovery from IDRS data may enrich the final outcome.
of data preparation and transformation. We justify the need for proposed
approach by presenting several case studies related to existing IDRS. We also discuss the
complexity of available data sources that can be utilized to make the
proposed approach more useful.
Keywords: Fire service, granular computing, decision support, reporting system