JS-Fuzzy

Fuzzy logic, invented by a man named Lotfi Zadeh in the mid-sixties, enables a computer to reason about linguistic terms and rules in a way similar to humans. Concepts like "far" or "slightly" are not represented by discrete intervals, but by fuzzy sets, enabling values to be assigned to sets to a matter of a degree - a process called fuzzification. Using fuzzified values computers are able to interpret linguistic rules and produce an output that may remain fuzzy or - more commonly, especially in videogames - can be defuzzified to provide a crisp value. This is known as fuzzy rule-based inference, and is one of the most popular uses of fuzzylogic. In this library is used the Combs Method. William Combs in 1997 Combs proposed a system that enables the number of rules to grow linearly with the number of member sets instead of exponentially.

How to instantiate the object

var ai = new FuzzyLogic();

The only method you need to use to process the output is:

ai.getResult(object);

Object passed to the script

You need an array of input variables called variables_input and an array of input value called crisp_input: a crisp value for each variable. Every variable is composed by a set of function. In this library are used only trapezoidal function to achieve a goal: remain in a linear environment and get good performance. A trapezoidal function is composed by four numbers corresponding the four x coordinates. The inferences, permit for every set of every input variable to define the corresponding set of the output variable called variable_output.

{
	crisp_input: [NUMBER, ...],
	variables_input: [
		{
			name: STRING,
			setsName: [STRING, STRING, STRING, ...],
			sets: [
				[NUMBER, NUMBER, NUMBER, NUMBER],
				[NUMBER, NUMBER, NUMBER, NUMBER],
				[NUMBER, NUMBER, NUMBER, NUMBER],
				...
			]
		},
		...
	],
	variable_output: {
		name: STRING,
		setsName: [STRING, STRING, ...],
		sets: [
			[NUMBER, NUMBER, NUMBER, NUMBER],
			[NUMBER, NUMBER, NUMBER, NUMBER],
			...
		]
	},
	inferences: [
		[id_Ref_Output_Set, id_Ref_Output_Set, id_Ref_Output_Set, ...],
		...
	]
}

See the examples for more details.