Fuzzy logic (also known as fuzzy logic) is a branch of mathematical logic used in artificial intelligence and machine learning to model uncertainty and imprecision in data.
Unlike traditional Boolean logic, which uses binary values (0 and 1) to represent true and false respectively, fuzzy logic allows the representation of intermediate values between 0 ("completely false") y 1 ("completely true") This allows greater flexibility in the description of phenomena that are neither totally true nor totally false.
Fuzzy logic is applied in various areas of artificial intelligence and machine learning, such as system control, pattern recognition and decision making based on uncertain or incomplete data.
Reference Fuzzy logic and its applications.
Industry 4.0 is the name given to the fourth industrial revolution, which is characterized by the inclusion of advanced technologies in production processes.
Read More »We often wonder what examples of AI we can find in our environment, and the fact is that artificial intelligence is a concept that in English has [...]
Read More »As e-commerce continues to grow at a dizzying pace, fraudsters are also finding new and sophisticated ways to exploit the potential [...]
Read More »Artificial intelligence is increasingly present in companies and its growth is being applied in practically all sectors. When the end [...]
Read More »
