Yager's theory

Yager's theory focuses on how humans deal with uncertainty and incomplete information. It proposes a mathematical approach called fuzzy logic, which allows for reasoning with partial truths—not just true or false. Instead of strict categories, it recognizes that real-world concepts are often ambiguous or gradual, like "tall" or "warm." This helps in creating systems (like AI or decision-making tools) that can handle imprecise data more naturally, mimicking human reasoning. Essentially, Yager's work provides a framework to process and analyze uncertain information more flexibly and realistically.