Linh Bui's Vlog

Introduction to Fuzzy Logic Systems Fuzzy Logic Systems (FLS) are designed to produce clear outputs even when the inputs are ambiguous, incomplete, or imprecise. Unlike traditional binary logic, which relies on absolute TRUE or FALSE values, Fuzzy Logic (FL) operates on the range of possibilities between YES and NO, reflecting the way humans often make decisions under uncertainty. What is Fuzzy Logic? Fuzzy Logic was introduced by Lotfi Zadeh, who observed that human reasoning involves more nuanced judgments rather than strict YES/NO answers. For instance, instead of saying “YES” or “NO,” humans might say: Certainly  Yes Possibly  Yes Cannot  Say Possibly  No Certainly  No Fuzzy logic operates on these intermediate possibilities, enabling systems to process “fuzzy” inputs to generate acceptable outputs. Implementation of Fuzzy Logic Fuzzy Logic can be implemented in systems of various scales, from simple microcontrollers to complex network-based control systems...