Decision-Theoretic Rough Set Models

By Yiyu Yao. Rough Sets and Knowledge Technology, 2007

459 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems

View Paper: https://www.semanticscholar.org/paper/6cef63321eda6256de72f23e64ade797c11c8121

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Richard Jensen
2. Yan Zhao
3. Yiyu Yao
4. Qiang Shen
5. Dominik Lzak
6. Georg Peters
7. Pawan Lingras
8. Witold Pedrycz

In Computational Theory and Mathematics

1. Richard Jensen
2. Qiang Shen
3. Yan Zhao
4. Yiyu Yao
5. Qinghua Hu
6. Daren Yu
7. Qing Xu
8. Jianhua Dai

In Information Systems

1. Richard Jensen
2. Qiang Shen
3. Yan Zhao
4. Yiyu Yao
5. Qing Xu
6. Jianhua Dai
7. Dominik Lzak
8. Georg Peters

Citations in the corpus

• An Outline of a Theory of Three-Way Decisions (2012, background): “It can be shown [50, 55] that under the following conditions,”
• Three-Way Decision: An Interpretation of Rules in Rough Set Theory (2009, methodology): “Under the two assumptions, we have the simplified rules [16]:”
• Attribute reduction in decision-theoretic rough set models (2008, methodology): “In the Pawlak model, one can have two types of rules, positive rules and boundary rules [45].”
• Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches (2008, background): “In classical rough set theory, the negative region is always empty for partitions [402].”
• Three-way decisions with probabilistic rough sets (2010, methodology): “The following simplified rules are obtained after tie-breaking [36]: The parameter γ is no longer needed.”