Forest Fire Forecasting Using Fuzzy Logic Models

被引：16
作者：
Nebot, Angela [1 ]
Mugica, Francisco [1 ]
机构：
[1] Univ Politen Catalunya, Intelligent Data Sci & Artificial Intelligence Re, Soft Comp Res Grp, Jordi Girona Salgado 1-3, Barcelona 08034, Spain
来源：
FORESTS | 2021年 / 12卷 / 08期
关键词：
hybrid fuzzy techniques; FIR; ANFIS; forest fire; burned areas prediction; PREDICTION;
D O I：
10.3390/f12081005
中图分类号：
S7 [林业];
学科分类号：
0829 ; 0907 ;
摘要：
In this study, we explored hybrid fuzzy logic modelling techniques to predict the burned area of forest fires. Fast detection is crucial for successful firefighting, and a model with an accurate prediction ability is extremely useful for optimizing fire management. Fuzzy Inductive Reasoning (FIR) and the Adaptive Neuro-Fuzzy Inference System (ANFIS) are two powerful fuzzy techniques for modelling burned areas of forests in Portugal. The results obtained from them were compared with those of other artificial intelligence techniques applied to the same datasets found in the literature.
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页数：13
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