Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation

Forest fires are a major environmental issue because they increasing as consequence of climate change and global warming. The present study was aimed to model forest fire hazard using the ordered weighted averaging (OWA) multi-criteria evaluation algorithm determine role human, climatic, factors in occurrence within Golestan National Park (GNP), Iran. database used for created according daily classification changes, basic maps, human-made influential factors. In area, were registered GPS. Expert opinions applied through analytic hierarchy process (AHP) importance effective Fuzzy membership functions standardize thematic layers. risk maps prepared different OWA scenarios man-made, environment findings revealed that roads (weight = 0.288), rainfalls aspects 0.255) contribute area. from validated relative operating characteristic (ROC) curve. Values acquired environment, their combination 0.87, 0.731, 0.773 0.819, respectively.