Zadeh's principle of uncertainty

Zadeh's principle of uncertainty recognizes that in real-world situations, information is often incomplete, imprecise, or ambiguous. Instead of requiring exact answers, systems based on this principle accept and work with degrees of confidence or possibility. This approach allows for more flexible reasoning when precise data isn't available, reflecting how humans often make decisions amid uncertainty. In essence, it acknowledges that certainty is rare, and embracing ambiguity can lead to more adaptable and realistic models of complex, uncertain environments.