Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
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In this paper we generalise Pawlak's rough approach for simplifying a decision table in an information system. We consider an information system where attribute values are not always quantitative, rather subjective having vague or imprecise meanings. Some objects may have attribute values which are almost identical i.e., they can't be distinguished clearly by the attributes. Considering this observation we present a generalised method for reduction of decision table for different choice values of 驴 and 脽, 驴 being for condition attributes and 脽 for decision attributes where 驴, 脽 驴 [ 0, 1 ]. For 驴 = 1 and 脽 = 1, the method reduces to Pawlak's method.