Inclusion degree: A perspective on measures for rough set data analysis
From MaRDI portal
Publication:1858420
DOI10.1016/S0020-0255(02)00174-3zbMath1008.68134OpenAlexW2131468036MaRDI QIDQ1858420
J. Y. Liang, Zong Ben Xu, Chuangyin Dang, Kwai Sang Chin
Publication date: 13 February 2003
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0020-0255(02)00174-3
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Cites Work
- Unnamed Item
- Variable precision rough set model
- Rough computational methods for information systems
- Uncertainty measures of rough set prediction
- Rough sets in knowledge discovery 2. Applications, case studies and software systems
- Rough sets in knowledge discovery 1. Methodology and applications
- Interpretations of belief functions in the theory of rough sets
- Rough mereology: A new paradigm for approximate reasoning
- Rough set approach to incomplete information systems
- ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS
- Rough set methods and applications. New developments in knowledge discovery in information systems. Dedicated to the memory of Prof. Adam Mrózek (1949-1999)
