Handling Missing Values in Rough Set Analysis of Multi-Attribute and Multi-Criteria Decision Problems


Rough sets proved to be very useful for analysis of decision problems concerning objects described in a data table by a set of condition attributes and by a set of decision attributes. In practical applications, however, the data table is often not complete because some data are missing. To deal with this case, we propose an extension of the rough set… (More)
DOI: 10.1007/978-3-540-48061-7_19



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