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.
Clustering methods, or grouping, are a fundamental part of the data analysis process, since they allow an automatic segmentation of the data [...]
Read More »In this article we are going to focus on how artificial intelligence (AI) can increase efficiency and reduce costs for your company by [...]
Read More »Artificial intelligence is increasingly used and applied in many sectors, and as it could not be less, it has entered with force in the field of [...]
Read More »Since 2008, several countries have enacted legislation that recognizes the importance of integrating artificial intelligence (AI) into key areas of life [...]
Read More »