We show that the rough set theory is a useful tool for analysis of decision situations, in particular multi‐criteria sorting problems. It deals with vagueness in the representation of a decision situation, caused by granularity of the representation. The rough set approach produces a set of decision rules involving a reduced number of most important criteria. It does not correct vagueness manifested in the representation; instead, the rules produced are categorized into deterministic and non‐deterministic. The set of decision rules explains the decision situation and may be used to support new decisions. An example illustrates the rough set analysis of a multi‐criteria sorting problem.
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Pawlak et al. (1994) studied this question.
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