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.

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 ...

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).

The fuzzy logic controller and a decision logic network identify the current road condition, based on current and past readings of the slip ratio and brake pressure. The controller detects wheel ...

Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance ...

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 ...

For example, the class of animals clearly includes dogs, horses, birds, etc. as its members and clearly excludes such objects as rocks, fluids, plants, etc. However, such objects as starfish ...