Hoping the best, expecting the worst: Forecasting forest fire risk in Algeria using fuzzy logic and GIS

Author:

Soualah LouizaORCID,Bouzekri Abdelhafid,Chenchouni Haroun

Publisher

Elsevier BV

Reference69 articles.

1. Decoding the interplay between tree traits, seed production, and cone-boring insect damage using advanced modeling to unveil the intricacies of Atlas cedar (Cedrus atlantica) forests;Abdelhamid;EuroMediterr. J. Environ. Integr.,2023

2. Using GIS to develop a model for forest fire risk mapping;Abedi Gheshlaghi;J. Indian Soc. Remote Sens.,2019

3. GIS-based forest fire risk mapping using the analytical network process and fuzzy logic;Abedi Gheshlaghi;J. Environm. Plann. Manag.,2020

4. Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques;Adab;Nat. Hazards,2013

5. Predicting high-risk individuals in disease outbreaks using fuzzy logic-based contact tracing model;Aklah;Nonlinear. Dyn.,2023

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