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.
Achieving business goals and tracking success is an important aspect of improving any business. In sales, measuring the progress of [...]
Read More »The content of this article synthesizes part of the chapter "Concept and brief history of Artificial Intelligence" of the thesis Generation of Artificial [...]
Read More »Artificial intelligence (AI) can change the way sales channels and customers are managed for manufacturers and distributors of consumer products, and can [...]
Read More »Companies are increasingly aware of the importance of properly analyzing and managing the huge amount of data they store on a daily basis.
Read More »
