A Case Study on Wildfire Propagation Modelling Using Evolving Rule Based Fuzzy Cognitive Maps

DOI

10.2991/eusflat-19.2019.79How to use a DOI?

Keywords

Fuzzy Cognitive Maps Rule-Based Fuzzy Cognitive Maps Dynamic Cognitive Maps Evolving temporal modelling Wildfire Propagation

Abstract

Fuzzy Cognitive Maps (FCM) and other Dynamic Cognitive Maps (DCM) were originally developed as mechanisms to simulate the evolution of complex qualitative dynamic systems. In this paper we present a case study where we show that Evolving DCM (specifically Evolving Rule Based Fuzzy Cognitive Maps, Ev-RBFCM) can also be used as a valid qualitative option to model a complex physical dynamic system, the propagation of a wildfire.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Joao Paulo Carvalho
AU  - Pedro Gregorio
PY  - 2019/08
DA  - 2019/08
TI  - A Case Study on Wildfire Propagation Modelling Using Evolving Rule Based Fuzzy Cognitive Maps
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 573
EP  - 579
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.79
DO  - 10.2991/eusflat-19.2019.79
ID  - Carvalho2019/08
ER  -