Uncertainty as the basis of possibility conditioning

The authors demonstrate how several aspects of conditioning in possibility calculus can be resolved on the basis of applying an uncertainty measure. They discuss the question of defining conditional possibility distributions. The principle of maximum uncertainty, based on U-uncertainty, serves to define conditional distributions, to justify the minimum rule of combining independent possibilities, and to derive Zadeh´s extension principle. An option of basing fuzzy sets on pointed domains, in the context of conditioning, is also discussed