Flexible patient rule induction method for optimizing process variables in discrete type

被引：13

作者：

Chong, Il-Gyo ^{[2
]}

Jun, Chi-Hyuck ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Ind & Management Engn, Pohang 790784, South Korea

[2] Samsung Elect Co Ltd, Semicond R&D Ctr, Hwasung 445701, South Korea

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2008年 / 34卷 / 04期

关键词：

data mining; ordinal data; process optimization; rule induction;

D O I：

10.1016/j.eswa.2007.05.047

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper deals with process optimization, which establishes the optimal settings of process variables to achieve a better quality. To this end, the patient rule induction method (PRIM), widely used in various application areas, could be adopted. However, the PRIM may fail to provide successful solutions when some process variables are in discrete types. Thus, we propose a new PRIM-like method specially to deal with ordinal discrete variables. For an illustrative purpose, the proposed method is applied to a real steel-making process. Also, performance of the proposed method is compared with the original PRIM through an extensive simulation using artificial data sets. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：3014 / 3020

页数：7

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