Complexity / 2018 / Article / Tab 10

Research Article

Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks

Table 10

Fuzzy values obtained by the fuzzifier.

Variable Value Fuzzy values Variable Value Fuzzy value

1 41,6 High(84%),Extreme (15%) Av. 37 High(100%)
39 Low(59%),Normal(40%) Av. 46 Normal(100%)
55 High(74%), Medium(25%) Av. 30 Medium(100%)
10 Medium(100%) Av. 9,5 Medium(100%)
16,5 Low (100%) Av. 18 Normal(33%),Low(66%)
876 High(12%),Extreme(87%) Av. 592 High(100%)
47,8 Extreme(77%), High(22%) Av. 13,6 Medium(79%),High(20%)

2 28 Low(40%), Medium(60%) Av. 25 Low(100%)
57 Normal(100%) Av. 54 Normal(100%)
23 Low(35%),Medium(64%) Av. 25 Low(24%),Medium(75%)
14,7 Medium(32%),High(67%) Av. 12 Medium(100%)
21 Normal(100%) Av. 20 Normal(100%)
395 Normal(100%) Av. 350 Normal(100%)
10 Medium(100%) Av. 7 Medium(69%),Normal(30%)

3 22 Low(100%) Av. 22,2 Low(100%)
63,19 Normal(54%),High(45%) Av. 64,42 Normal(55%),High(44%)
7,5 Low(100%) Av. 9,5 Low(100%)
28,83 High(100%) Av. 32,52 High(74%), Extreme(25%)
19,1 Normal(69%),Low(30%) Av. 21,35 Normal(100%)
546 High(100%) Av. 454 Normal(46%), High(53%)
17,61 Medium(29%),High(70%) Av. 1,47 Normal(85%),Medium(14%)

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