In implementing a fuzzy-logic system, you map values across the range of an input parameter, to membership of a set that has some bearing on the control parameter you eventually want to calculate.

For example, to specify how tall someone is, I could design a function that says a 190cm person is tall (with a truth value of 1) and a 140cm person is not tall (or tall with a truth value of 0).

Fuzzy Logic allows for the representation of vague concepts and the handling of incomplete or ambiguous data. Fuzzy Logic has many practical applications, from control systems and robotics to ...

This paper investigates the problem of fuzzy adaptive fixed- time bipartite output consistent tracking for nonlinear cooperative/competing multi-agent systems (MASs) under directed graphs. The control ...

This paper studies the discrete-time adaptive fuzzy output feedback control for the altitude and attitude tracking problem of quadrotor unmanned aerial vehicle with input saturation. A discrete-time ...

A Mamdani-type fuzzy inference system was constructed to simulate expert decision logic and output a continuous likelihood score. This score, along with structured features, was used to train a Random ...

The author develops a new game-theoretic approach, anchored not in Boolean two-valued logic but instead in linguistic fuzzy logic. The latter is characterized by two key features. First, the truth ...