By - Bizz Gossips
Image Source - Social Media
By - Bizz Gossips
Image Source - Social Media
Fuzzy systems are based on the principles of fuzzy logic, a mathematical framework that deals with uncertainty and imprecision in decision-making. Unlike traditional binary logic (true or false), fuzzy logic allows for intermediate values, typically represented as degrees of truth ranging between 0 and 1.
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Fuzzy systems use linguistic variables and membership functions to describe the imprecise or vague nature of real-world data. These variables are divided into membership functions, each representing a different degree of membership in a fuzzy set.
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Fuzzy systems can be adaptive and self-learning. They can adjust their rules and parameters based on feedback, making them suitable for applications that require continuous optimization.
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Fuzzy control systems are widely used in various industries, including automotive, robotics, and home appliances. These systems allow for adaptive and intelligent control in situations where precise mathematical models may not be available.
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Image Source - Social Media