Note on LEM2- Based Decision Rules Induction
TIle LEM2 algorithm of system LERS (Learning from Examples based on Rough Sets) proposed by Grzymala is a use ful tool for rule induction. This algorithm induces a minimum set of decision rules from examples given in the form of a decision table. This paper presents some properties connected with in...
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| Tác giả chính: | |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Trường Đại học Đà Lạt
2012
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/33638 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | TIle LEM2 algorithm of system LERS (Learning from Examples based on Rough Sets) proposed by Grzymala is a use ful tool for rule induction. This algorithm induces a minimum set of decision rules from examples given in the form of a decision table. This paper presents some properties connected with inducing certain and approximate decision
rules on the basis of lower approximations and boundaries of decision classes. The approach of using granularity in decision rules induction of algorithm is mentioned. |
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