Abstract
Reasoning about the practical meaning of ambiguity and incompleteness in decision tables leads to the notion of ‘the life cycle of a decision table’. It is shown how both concepts can be applied in a positive sense during that life cycle. Also, a comparison is made of decision tables and rule-based knowledge systems. A number of problems connected with the occurrence of ambiguities and incompleteness in the design of decision tables and rule base systems are discussed.