Research Article
Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks
Table 11
Comparison of results provided by fuzzy-based forest fire controller.
| ā | Forest Fire risks(%) | Fire outbreaks occurrence(%) | P | Defuzzified result | Aggregated output set | Defuzzified result | Aggregated output set |
| 1 | 50,964% | Non-existent(40%) | 56,458% | Non-existent (40%) | Low(59%) | Low (59%) | High(100%) | High (84%) | Extreme(15%) | Extreme (87%) |
| 2 | 33,148% | Non-existent(100%) | 24,074% | Non-existent(100%) | Low(67%) | Low(69%) | High(32%) | High(0%) | Extreme(0%) | Extreme(0%) |
| 3 | 11,11% | Non-existent(100%) | 41,51% | Non-existent(100%) | Low(0%) | Low(29%) | High(0%) | High(70%) | Extreme(0%) | Extreme(0%) |
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