Decision tables conventionally organize information and knowledge in a systematic tabular manner to prepare for it analysis.
Decision under certainty can be modelled by most linear programing techniques.
Decision under risk needs more deliberation due to a lot more possibilities—among the most commonly used techniques are decision tables and tree.