 In fuzzy logic, rather than regarding statements as being either true or false, we associate each statement with a numerical "confidence" in that statement.By convention the confidences range over the unit interval formula_1, where the maximal confidence formula_2 corresponds to the classical concept of true and the minimal confidence formula_3 corresponds to the classical concept of false.T-norms are binary functions on the real unit interval [0, 1] which in fuzzy logic are often used to represent a conjunction connective; if formula_4 are the confidences we ascribe to the statements formula_5 and formula_6 respectively, then one uses a t-norm formula_7 to calculate the confidence formula_8 ascribed to the compound statement ‘formula_5 and formula_6’.