Information Entropy-Based Attribute Reduction for Incomplete Set-Valued Data
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DOI: 10.1109/access.2021.3138961
Abstract: This paper investigates attribute reduction for incomplete set-valued data based on information entropy. The similarity degree between information values on a conditional attribute of an incomplete set-valued decision information system (ISVDIS) is first proposed. Then,… read more here.
Keywords: information; information entropy; attribute reduction; set valued ... See more keywords