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Methods of learning rules based on rough set: LBR and LEM3

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3 Author(s)
Lan Shu ; Dept. of Appl. Math., Univ. of Electron. Sci. & Technol., Chengdu, China ; Mo Zhi Wen ; Hu Dan

With the help of rough set theory, this paper puts forward a new way of machine learning - LBR (Learning By Rough set theory) - and then compares it with the algorithm LEM1 (Learning from Examples Method 1) that was proposed in "Incomplete Information Rough Set Analysis", Physica-Verlag Heidelberg, Ewa Orlowska (Ed.), 1998. From the comparison results, we find a new method of learning rules from examples, named LEM3, which is more flexible than LEM1. LBR and LEM3 have extensive application prospects in artificial intelligence

Published in:

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th  (Volume:2 )

Date of Conference:

25-28 July 2001