Examples of Fuzzy Logic in AI: Autonomous Vehicles: Fuzzy logic is used in autonomous vehicles to make decisions in uncertain environments. For example, fuzzy logic can help a self-driving car ...

For example, a climate control system might use Fuzzy Logic to adjust temperature and humidity based on a variety of input variables, like room size, occupancy, and external weather conditions.

A fuzzy logic rice cooker, for example, works much like a real cook. The machine uses its senses to observe the rice as it cooks, adjusting for it type and volume, and intervene--by changing the ...

Type-2 fuzzy logic systems have emerged as a powerful extension of traditional fuzzy logic, providing enhanced capability to model uncertainty and imprecision in complex systems. Unlike type-1 ...

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 and soft computing In 1991, Lofti A. Zadeh, a professor at the University of Berkeley and the founder of fuzzy logic, coined the term ‘soft computing’.

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 ...

Fuzzy logic is a form of many-valued or probabilistic logic . The reasoning in fuzzy logic is similar to human reasoning in that it allows for approximate values and inferences as well as incomplete ...