Proceedings of the Fuzzy System Symposium
27th Fuzzy System Symposium
Session ID : TA1-4
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Dual Rough Approximations for Incomplete Information Tables
*Michinori NAKATAHiroshi SAKAI
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Abstract
A method of possible equivalence classes has been developed under information tables with incomplete values which contain a missing value as a special case. To deal with imprecision of rough approximations that comes from incomplete values, the concepts of certainty and possibility are used. When an information table contains incomplete values, two rough approximations, certain and possible ones, are obtained. The actual rough approximation lies between the certain and possible rough approximations. The method gives the same results as a method of possible worlds. This justifies the method of possible equivalence classes. Furthermore, the method is free from the restriction that incomplete values may occur to only some specified attributes. Hence, we can use the method of possible equivalence classes to obtain rough approximations between arbitrary sets of attributes having partial values.
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© 2011 Japan Society for Fuzzy Theory and Intelligent Informatics
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