Traditional computers use binary logic — true or false. But the real world isn’t always that simple.
Fuzzy logic allows AI systems to handle uncertainty and partial truth, similar to how humans think.
Instead of black-and-white answers, fuzzy systems consider shades of gray — like “somewhat true” or “almost correct.”
Applications include smart appliances, climate control, and automated decision systems.
For example, a fuzzy-controlled air conditioner doesn’t just turn on or off — it adjusts the temperature smoothly, depending on environmental conditions.
Fuzzy logic makes AI more human-like and adaptable to complex, uncertain situations.
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