Fuzzy logic is a mathematical theory that represents sets defined by uncertain and imprecise boundaries. It is also known as "bulanık mantık" in Turkish. Fuzzy logic is an approach used for decisions made with uncertain and imprecise data. Unlike traditional logical systems, memberships are expressed within a specific range of values (between 0 and 1), which indicates the degree of membership of an element in a set. For example, if a person is 45 years old, it is not possible to definitively define whether they are "old"; however, with fuzzy logic, this person can be 30% included in the "old" set.

Origin

Fuzzy logic was derived from the "fuzzy sets" theory proposed by engineering professor Lotfi Zadeh from the University of California in 1965. Lotfi Zadeh realized that traditional logical systems were inadequate in defining uncertain and imprecise data sets and developed the concept of fuzzy sets to express the degrees of membership of these sets.

Applications

Industrial Use: Fuzzy logic is commonly used in production and control systems. Automated machines and robots work with fuzzy logic-based control systems to adapt to environmental changes.

Consumer Products: In smart home appliances such as washing machines, microwave ovens, and televisions, fuzzy logic is used to adjust the devices based on environmental factors.

Medical Applications: Fuzzy logic plays an important role in expert systems used for diagnosing diseases such as diabetes and prostate cancer.

Use in Different Fields

Machine Control: Fuzzy logic enables machines to provide correct responses under specific conditions. It is effectively used in situations where complex or incomplete theoretical models exist.

Finance and Investment: In areas such as stock analysis and portfolio management, fuzzy logic enables flexible and accurate decision-making with uncertain data.

Example Sentences

"Fuzzy logic allows washing machines to select the most suitable washing program based on load and dirt level."

"Fuzzy logic-based control systems adjust to environmental factors in automated transport systems."