function_approximation/
function_approximation.rs1use fuzzy_logic_rs::{
2 defuzzifications::TSKDefuzzifiers,
3 fuzzy_inference_systems::TSKFIS,
4 membership_functions::{Gaussian, MFKind, MembershipFunction},
5 rules::Rule,
6 s_norms::SNorms,
7 t_norms::TNorms,
8 variables::{InputVariable, TSKOutputVariable},
9};
10
11fn main() {
12 let x1 = 0.0;
13 let x2 = 0.25;
14 let x3 = 0.5;
15 let x4 = 0.75;
16 let x5 = 1.0;
17 let original_function = |x| x * (1.0 - x);
18 let y15 = original_function(x1);
19 let y24 = original_function(x2);
20 let y3 = original_function(x3);
21
22 let mut fis = TSKFIS::new(SNorms::Max, TNorms::Min, TSKDefuzzifiers::Mean);
23
24 let mut x: InputVariable = InputVariable::new("X".to_string(), (0.0, 1.0));
25 x.add_membership(MembershipFunction::new(
26 "x1".to_string(),
27 MFKind::Gaussian(Gaussian::new(x1, 0.09)),
28 ));
29 x.add_membership(MembershipFunction::new(
30 "x2".to_string(),
31 MFKind::Gaussian(Gaussian::new(x2, 0.09)),
32 ));
33 x.add_membership(MembershipFunction::new(
34 "x3".to_string(),
35 MFKind::Gaussian(Gaussian::new(x3, 0.09)),
36 ));
37 x.add_membership(MembershipFunction::new(
38 "x4".to_string(),
39 MFKind::Gaussian(Gaussian::new(x4, 0.09)),
40 ));
41 x.add_membership(MembershipFunction::new(
42 "x5".to_string(),
43 MFKind::Gaussian(Gaussian::new(x5, 0.09)),
44 ));
45 fis.add_input(x);
46
47 let mut y: TSKOutputVariable = TSKOutputVariable::new("Y".to_string());
48 y.add_constant_membership(y15);
49 y.add_constant_membership(y24);
50 y.add_constant_membership(y3);
51
52 fis.add_output(y);
53
54 fis.add_rule(Rule::new_and(vec![0, 0], 1.0));
55 fis.add_rule(Rule::new_and(vec![1, 1], 1.0));
56 fis.add_rule(Rule::new_and(vec![2, 2], 1.0));
57 fis.add_rule(Rule::new_and(vec![3, 1], 1.0));
58 fis.add_rule(Rule::new_and(vec![4, 0], 1.0));
59
60 let out: Vec<f64> = fis.compute_outputs(vec![0.6]);
61 println!("{:?}", out);
62}