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Uncertainty Measurement for a Fuzzy Set-valued Information System by Zhaowen Li; Zhihong Wang; Qingguo Li; Pei Wang; Ching-Feng Wen is a Computer Science article available to read on EtoBox.

What is Uncertainty Measurement for a Fuzzy Set-valued Information System about?

Uncertainty measurement (UM) can offer new visual angle for data analysis. A fuzzy set-valued information system (FSVIS) which means an information system (IS) where its information values are fuzzy sets. This article investigates UM for a FSVIS. First, a FSVIS is introduced. Then, the distance between two information values of each attribute in a FSVIS is founded. After that, the tolerance relation induced by a given subsystem is acquired by this distance. Moreover, the information structure of this subsystem is brought forward. Additionally, measures of uncertainty for a FSVIS are explored. Eventually, to verify the validity of these measures, statistical effectiveness analysis is carried out. The obtained results will help us understand the intrinsic properties of uncertainty in a FSVIS.

Who reads Uncertainty Measurement for a Fuzzy Set-valued Information System?

Author

Zhaowen Li; Zhihong Wang; Qingguo Li; Pei Wang; Ching-Feng Wen

Publisher

Springer Science and Business Media LLC

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)