First it takes advantage of the sequential structure of decision tree branches so that the order of checking conditions and executing actions is immediately noticeable. Second, Conditions and actions of decision trees are found on some branches but not on others which contrasts with decision tables, in which they are all part of the same table. Those conditions and actions that are critical are connected directly to other conditions and actions, whereas those conditions that do not matter are absent. In other words it does not have to be symmetrical. Third,Compared with decision tables, decision trees are more readily understood by others in the organization. Consequently, they are more appropriate as a communication tool.
Unbalanced Decision Tables are a compromise between Decision Tables and Decision Trees. Decision Trees themselves can become quite complex with enough conditions and actions. Unbalanced Decision Tables provide either a prioritized list of conditions that lead to a set of actions, or a list of conditions that lead to a set of actions. The result is often more concise than either traditional Decision Tables or Decision Trees.