Fuzzy logic

system for reasoning about vagueness

sets whose elements have degrees of membership

concept of mathematical logic

method to analyze non-binary inputs

In linguistics and philosophy, a vague predicate is one which gives rise to borderline cases. For example, the English adjective "tall" is vague since it is not clearly true or false for someone of middling height. By contrast, the word "prime" is not vague since every number is definitively either prime or not. Vagueness is commonly diagnosed by a predicate's ability to give rise to the sorites paradox. Vagueness is separate from ambiguity, in which an expression has multiple denotations. For instance the word "bank" is ambiguous since it can refer either to a river bank or to a financial ins

a generalization of the indicator function in classical sets

Real numbers with a multi-valued logical classification

type of artificial neural network

method of making decisions based on insufficient or fuzzy information

mathematical theory for dealing with certain types of uncertainty and is an alternative to probability theory

fuzzy concept

thumb|300px|Sketch of a neuro-fuzzy system implementing a simple Sugeno-Takagi controller In the field of artificial intelligence, the designation neuro-fuzzy refers to combinations of artificial neural networks and fuzzy logic.

many-valued logic

thumb|The place of defuzzification in a fuzzy control system thumb|A particular defuzzification method Defuzzification is the process of producing a quantifiable result in crisp logic, given fuzzy sets and corresponding membership degrees. It is the process that maps a fuzzy set to a crisp set.