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: Dang, Phuoc Huy
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Trường Đại học Đà Lạt 2012
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Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/33638
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spelling oai:scholar.dlu.edu.vn:DLU123456789-336382012-12-26T01:46:06Z Note on LEM2- Based Decision Rules Induction Dang, Phuoc Huy Rough set Rough approximat ions Decision rules Granularity 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. 2012-12-26T01:46:06Z 2012-12-26T01:46:06Z 2012 Working Paper https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/33638 en Kỷ yếu Hội thảo công nghệ thông tin 2012;tr. 111-124 application/pdf Trường Đại học Đà Lạt
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Rough set
Rough approximat ions
Decision rules
Granularity
spellingShingle Rough set
Rough approximat ions
Decision rules
Granularity
Dang, Phuoc Huy
Note on LEM2- Based Decision Rules Induction
description 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.
format Working Paper
author Dang, Phuoc Huy
author_facet Dang, Phuoc Huy
author_sort Dang, Phuoc Huy
title Note on LEM2- Based Decision Rules Induction
title_short Note on LEM2- Based Decision Rules Induction
title_full Note on LEM2- Based Decision Rules Induction
title_fullStr Note on LEM2- Based Decision Rules Induction
title_full_unstemmed Note on LEM2- Based Decision Rules Induction
title_sort note on lem2- based decision rules induction
publisher Trường Đại học Đà Lạt
publishDate 2012
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/33638
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