Qualitative Measures of Ambiguity
This work addresses the representation of uncertain knowledge for fields like decision theory or AI, but it appears incremental as it builds on existing concepts of ambiguity and uncertainty without claiming major breakthroughs.
The paper tackles the problem of measuring ambiguity as a distinct form of uncertainty, analyzing its relationship with other uncertainty measures, and finds that it deals with vagueness in judgments, contrasting with probability's focus on relative likelihoods.
This paper introduces a qualitative measure of ambiguity and analyses its relationship with other measures of uncertainty. Probability measures relative likelihoods, while ambiguity measures vagueness surrounding those judgments. Ambiguity is an important representation of uncertain knowledge. It deals with a different, type of uncertainty modeled by subjective probability or belief.