Uncertainty Measurement for Fuzzy Set-Valued Data

Uncertainty Measurement for Fuzzy Set-Valued Data

Uncertainty measurement (UM) can offer new visual angle for data analysis. A fuzzy set-valued information system (FSVIS) indicates an information system (IS) where its information values are fuzzy sets. This article investigates UM for fuzzy set-valued data based on Chebyshev distance. First, the di...

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Bibliographic Details
Main Authors: Sichun Wang, Yini Wang, Hongxiang Tang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fuzzy set
FSVIS
information structure
uncertainty
measure
effectiveness
Online Access:https://ieeexplore.ieee.org/document/8990125/

Internet

https://ieeexplore.ieee.org/document/8990125/

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