In the traditional fuzzy logic, the expert’s degree of confidence d(A&B) in a complex statement A&B (or A∨B) is uniquely determined by his/her degrees of confidence d(A) and d(B) in the statements A and B, as f&(d(A), d(B)) for an appropriate “and”-operation (t-norm). In practice, for the same degrees d(A) and d(B), we may have different degrees d(A&B) depending on the relation between A and B....
