How is fuzzy logic used?

Fuzzy logic has been used in numerous applications such as facial pattern recognition, air conditioners, washing machines, vacuum cleaners, antiskid braking systems, transmission systems, control of subway systems and unmanned helicopters, knowledge-based systems for multiobjective optimization of power systems.

How many rules are there in fuzzy logic?

I have a fuzzy system with 2 inputs and 1 output, each has 5 membership functions, thus there is 5*5*5=125 rules for this system.

Why to use fuzzy logic?

Why Use Fuzzy Logic in Control Systems While applying traditional control, one needs to know about the model and the objective function formulated in precise terms. By applying fuzzy logic for control we can utilize the human expertise and experience for designing a controller. The fuzzy control rules, basically the IF-THEN rules, can be best utilized in designing a controller.

What are the disadvantages of fuzzy logic?

Disadvantages of Fuzzy Logic Systems Fuzzy logic is not always accurate, so The results are perceived based on assumption, so it may not be widely accepted. Fuzzy systems don’t have the capability of machine learning as-well-as neural network type pattern recognition Validation and Verification of a fuzzy knowledge-based system needs extensive testing with hardware

What are the applications of fuzzy logic?

Description of Fuzzy Logic. In recent years, the number and variety of applications of fuzzy logic have increased significantly. The applications range from consumer products such as cameras, camcorders, washing machines, and microwave ovens to industrial process control, medical instrumentation, decision-support systems, and portfolio selection.

What is the difference between fuzzy logic and probability?

Variables between the extremes of zero and one are closer to the concept of probability, which means there is a major correlation between the science of probability and fuzzy logic. However, fuzzy logic refers to intensity of truth, while probability refers to likelihood.