Discernibility and Rough Sets in Medicine: Tools and Applications

By Aleksander Øhrn. 2000

305 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/36fbfa77efed8af8d1a96054e752b9370c7faf28

How researchers see this paper

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

1. Richard Jensen
2. Qiang Shen
3. Aleksander Øhrn
4. Qinghua Hu
5. Jianhua Dai
6. Kai Keng Ang
7. Ren-hong Diao
8. Pradipta Maji

Citations in the corpus

• New Approaches to Fuzzy-Rough Feature Selection (2009, methodology): “The Johnson Reducer [18] is extended and used herein to illustrate the concepts involved.”
• ROSETTA Technical Reference Manual (2001, methodology): “Two main types of discernibility are currently supported by ROSETTA.”
• Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches (2008, methodology): “The Johnson reducer is a simple greedy heuristic algorithm that is often applied to discernibility functions to find a single reduct [253].”