fuzzylogic v0.3.5

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Fuzzy Logic for node.js

I have created a new fuzzylogic module, it is a bit more modern, simpler to extend and just new and shiny. Have a look at es6-fuz

If yes or no is not enough

Glossary

Code by: Sebastian Schürmann License: MIT

Fuzzy logic is a form of many-valued logic; it deals with reasoning that is approximate rather than fixed and exact. In contrast with traditional logic theory, where binary sets have two-valued logic: true or false, fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.1 Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.

from http://en.wikipedia.org/wiki/Fuzzy_logic

Install & Dev

npm install fuzzylogic

Test

npm test

Api docs

npm test

Basic Fuzzyfication`

var resGrade = fuzzylogic.grade(3,0,1);
assert.ok(resGrade == 1);

var resReverseGrade = fuzzylogic.reverseGrade(3,0,1);
assert.ok(resReverseGrade === 0);

var resTriangle = fuzzylogic.triangle(3,0,1,2);
assert.ok(resTriangle === 0);

Fuzzy Rulesets for Defuzzyfication

assert.ok(rules.and(0.1, 0.2, cbA, cbB) == 0.1);
assert.ok(cbValue == 'a');
assert.ok(rules.or(0.1, 0.2, cbA, cbB)== 0.2);
assert.ok(cbValue == 'b');
assert.ok(rules.not(0.1) == 0.9);

Threat Example

A Basic Function to create fuzzy decisions to

var threatCalc = function(threat) {
    var probabNoAttack          = fuzzylogic.triangle(threat, 0, 20, 40);
    var probabNormalAttack      = fuzzylogic.trapezoid(threat, 20, 30, 90, 100);
    var probabEnragedAttack     = fuzzylogic.grade(threat, 90, 100);
    sys.log('Threat: ' + threat);
    sys.log('no attack: '       + probabNoAttack);
    sys.log('normal attack: '   + probabNormalAttack);
    sys.log('enraged attack: '  + probabEnragedAttack);
};

And then execute the code

threatCalc(10);
threatCalc(20);
threatCalc(30);