Fuzzy Logic

We have witnessed the power of expert systems, but what happens when conditions overlap? For example, in medical diagnosis, symptoms can be vague or overlapping, making it challenging for an expert system to distinguish between similar conditions without precise data. Traditional expert systems, which operate on strict true/false values, fall short in such scenarios. How can we capture "vagueness," something that is neither high nor low but somewhere in between? This is where fuzzy systems come in, handling imprecision and overlaps effectively, which rigid logic systems cannot achieve.