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Fuzzy Logic

Definition

Fuzzy logic allows degrees of membership between 0 and 1 rather than forcing every proposition into a strict true-or-false category.

What is fuzzy logic?

Fuzzy logic represents degrees of membership rather than forcing every statement to be completely true or false. A temperature can be partly 'warm' and partly 'hot' according to membership functions that return values between 0 and 1.

How a fuzzy controller works

A typical fuzzy controller converts numerical inputs into fuzzy memberships, applies rules such as 'IF temperature is high THEN fan speed is fast,' combines the results, and converts them back into an output value.

Where it is useful

Lotfi Zadeh introduced fuzzy sets in 1965. Fuzzy control became popular in consumer and industrial control systems because it can encode approximate human-style control rules. It is different from probability: fuzziness describes degree of membership, not uncertainty about whether an event occurred.

Related terms, defined

Classical AI & Machine Learning Genetic Algorithms Genetic algorithms are optimization methods inspired by evolutionary selection, iteratively varying and selecting candidate solutions according to a fitness function. Classical AI & Machine Learning Reinforcement Learning Reinforcement learning trains an agent by interaction: actions change an environment, rewards provide feedback and the agent learns a policy intended to maximize cumulative reward. Classical AI & Machine Learning Supervised Learning Supervised learning trains a model from examples paired with known labels or target values. Classification and regression are common supervised tasks. Classical AI & Machine Learning Unsupervised Learning Supervised learning trains a model from examples paired with known labels or target values. Classification and regression are common supervised tasks. Classical AI & Machine Learning Artificial Intelligence vs Machine Learning Artificial intelligence is the broader field concerned with systems performing tasks associated with intelligent behavior; machine learning is a major subfield in which systems learn patterns from data.

Reference guide and primary sources

Wikipedia is used here as a terminology and history reference guide. Current model versions, institutional statistics and product-specific claims are also linked to first-party or institutional sources because those details can change faster than encyclopedia articles.

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