Measures of Uncertainty for an Incomplete Set-Valued Information System With the Optimal Selection of Subsystems: Gaussian Kernel Method

Measures of Uncertainty for an Incomplete Set-Valued Information System With the Optimal Selection of Subsystems: Gaussian Kernel Method

A set-valued information system (SVIS) with missing values is known as an incomplete set-valued information system (ISVIS). This article focuses on studying uncertainty measurement for an ISVIS and the optimal selection of subsystems by means of Gaussian kernel. First, the distance between two infor...

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Bibliographic Details
Main Authors: Lijun Chen, Shimin Liao, Ningxin Xie, Zhaowen Li, Gangqiang Zhang, Ching-Feng Wen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
ISVIS
distance
Gaussian kernel
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Online Access:https://ieeexplore.ieee.org/document/9266028/

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https://ieeexplore.ieee.org/document/9266028/

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