👉 Fuzzy computing is a paradigm that extends traditional binary logic by allowing partial truth values, essentially enabling systems to handle uncertainty and imprecision in data. Unlike classical computing, where variables are strictly true or false, fuzzy logic assigns degrees of truth between 0 and 1, representing how much a statement is true. This approach is particularly useful in modeling complex systems where inputs and outputs are not always clear-cut, such as in control systems, decision-making processes, and pattern recognition. By incorporating human-like reasoning, fuzzy computing can better mimic human thought processes, making it more adaptable and robust in dealing with ambiguous or incomplete information.
