Double-Granule Conditional-Entropies Based on Three-Level Granular Structures

Double-Granule Conditional-Entropies Based on Three-Level Granular Structures

Rough set theory is an important approach for data mining, and it refers to Shannon’s information measures for uncertainty measurements. The existing local conditional-entropies have both the second-order feature and application limitation. By improvements of hierarchical granulation, this...

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Bibliographic Details
Main Authors: Taopin Mu, Xianyong Zhang, Zhiwen Mo
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Entropy
Subjects:
rough set theory
information theory
conditional entropy
uncertainty
granular computing
three-level granular structures
Online Access:https://www.mdpi.com/1099-4300/21/7/657

Internet

https://www.mdpi.com/1099-4300/21/7/657

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