Forest Fire Forecasting Using Fuzzy Logic Models

Forests

Francisco Mugica¹  Àngela Nebot¹ 

[1] Soft Computing Research Group at Intelligent Data Science and Artificial Intelligence Research Center, Universitat Politènica de Catalunya, Jordi Girona Salgado 1-3, 08034 Barcelona, Spain;

关键词: hybrid fuzzy techniques;    FIR;    ANFIS;    forest fire;    burned areas prediction;   

DOI  :  10.3390/f12081005

来源: DOAJ

【 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.

【 授权许可】

Unknown