Analyses of burned area of forest by adaptive neuro-fuzzy approach

Authors

  • Jasmina Dedić University of Priština - Kosovska Mitrovica, Faculty of Technical Science, Serbia Author
  • Srđan Jović University of Priština - Kosovska Mitrovica, Faculty of Technical Science, Serbia Author
  • Jelena Đokić University of Priština - Kosovska Mitrovica, Faculty of Technical Science, Serbia Author

DOI:

https://doi.org/10.5937/zasmat1901058D

Keywords:

ANFIS, forecasting, the burned area of forest

Abstract

Burned area of forest may be developed based on different factors. In this investigation the burned area of forest was analyzed by computational intelligence approach. The main goal was to analyze the influence of eight inputs on the burned area of forest. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data. Eight inputs are considered: FFMC, DMC, DC, ISI, temp, RH, wind, rain. The ANFIS process was implemented to detect the dominant factors which affect the forecasting of the burned area of forest.

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Published

15-03-2019

Issue

Vol. 60 No. 1 (2019)

Section

Articles