Fuzzy logic

Concept and definition

Fuzzy logic

What is Fuzzy logic?

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.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
Abbreviated History of Artificial Intelligence

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 »
What is chargeback? Find out how it affects your business

Chargeback refers to refunds that occur when, at the request of a cardholder, the bank requests a refund on his or her behalf [...].

Read More »
Types of analysis performed with Big Data

Big data analytics is the process of analyzing large and complex data sources to uncover trends, patterns, customer behaviors, and other data sources [...]

Read More »
2 case studies on Artificial Intelligence: sales and risk

How is artificial intelligence helping us? Artificial intelligence (AI) has gone from being the stuff of science fiction movies to a [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies