Attribute Reduction in an Incomplete Interval-Valued Decision Information System

Attribute Reduction in an Incomplete Interval-Valued Decision Information System

An incomplete interval-valued decision information system (IIVDIS) is a significant type of data decision table, which is ubiquitous in real life. Interval value is a form of knowledge representation, and it seems to be an embodiment of the uncertainty of research objects. In this paper, we focus on...

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Bibliographic Details
Main Authors: Yiying Chen, Zhaowen Li, Gangqiang Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Attribute reduction
IIVDIS
similarity degree
rough set theory
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Online Access:https://ieeexplore.ieee.org/document/9406010/

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