Using rough set to induce more abstract rules from rule base

Authors:
Feng Honghai;Liu Baoyan;He LiYun;Yang Bingru;Li Yueli;Zhao Shuo
Affiliations:
Urban & Rural Construction School, Hebei Agricultural University, Baoding, China;China Academy of Traditional Chinese Medicine, Beijing, China;China Academy of Traditional Chinese Medicine, Beijing, China;University of Science and Technology Beijing, Beijing, China;Hebei Agricultural University, Baoding, China;Hebei Agricultural University, Baoding, China
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

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Abstract

In fault diagnosis and medical diagnosis fields, often there is more than one fault or disease that occur together. In order to obtain the factors that cause a single fault to change to multi-faults, the standard rough set based methods should be rebuilt. In this paper, we propose a decernibilty matrix based algorithm with which the cause of every single fault to change to multi-faults can be revealed. Additionally, we propose another rough set based algorithm to induce the common causes of all the single faults to change to their corresponding multi-faults, which is a process of knowledge discovery in rule base, i.e., not the usual database. Inducing more abstract rules in knowledge base is a very challenging problem that has not been resolved well.