PRODUCTION SYSTEM-DEVELOPMENT FOR EXPERT SYSTEMS USING A RECURSIVE PARTITIONING INDUCTION APPROACH - AN APPLICATION TO MORTGAGE, COMMERCIAL, AND CONSUMER LENDING

被引：18

作者：

CRONAN, TP ^{[1
]}

GLORFELD, LW ^{[1
]}

PERRY, LG ^{[1
]}

机构：

[1] UNIV ARKANSAS,DEPT FINANCE,FAYETTEVILLE,AR 72701

来源：

DECISION SCIENCES | 1991年 / 22卷 / 04期

关键词：

COMPUTER APPLICATIONS; DECISION PROCESSES; DECISION SUPPORT SYSTEMS; AND FINANCIAL ANALYSIS;

D O I：

10.1111/j.1540-5915.1991.tb00366.x

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

The concepts of expert systems and decision support systems have received considerable attention recently. While systems have been proposed for various problem areas in business, difficulties still exist in the knowledge acquisition phase of development. This paper presents a recursive partitioning analysis (RPA) approach to knowledge acquisition. The RPA production system approach was applied to data sets representing the mortgage, commercial, and consumer lending problems. Comparison of the classification rates across these problems to the results of a generalized inductive inference production system (Quinlan's ID3 algorithm) and across the mortgage and commercial lending problems to traditional statistical modeling approaches indicated that the RPA approach provided superior results while using fewer variables. Copyright © 1991, Wiley Blackwell. All rights reserved

引用

页码：812 / 845

页数：34

共 57 条

[1] FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND PREDICTION OF CORPORATE BANKRUPTCY [J].