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| Immune algorithm for discretization of decision systems in rough set theory |
| Jia Ping, Dai Jian-hua, Chen Wei-dong, Pan Yun-he, Zhu Miao-liang |
| Institute of Artificial Intelligence, Zhejiang University, Hangzhou 310027, China |
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Abstract Rough set theory plays an important role in knowledge discovery, but cannot deal with continuous attributes, thus discretization is a problem which we cannot neglect. And discretization of decision systems in rough set theory has some particular characteristics. Consistency must be satisfied and cuts for discretization is expected to be as small as possible. Consistent and minimal discretization problem is NP-complete. In this paper, an immune algorithm for the problem is proposed. The correctness and effectiveness were shown in experiments. The discretization method presented in this paper can also be used as a data pretreating step for other symbolic knowledge discovery or machine learning methods other than rough set theory.
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Received: 08 July 2005
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