Intelligent early-warning support system for enterprise financial crisis based on case-based reasoning

被引：3

作者：

Lei Z. ^{[1
]}

Yamada Y. ^{[2
]}

Huang J. ^{[3
]}

Xi Y. ^{[3
]}

机构：

[1] School of Public Policy and Administration, Xi'An Jiaotong University

[2] Department of Industrial Administration Science, Univeristy of Tokyo, Noda, Chiba (278), 2641, Yamiazaki

[3] School of Management, Xi'An Jiaotong University

来源：

Journal of Systems Science and Complexity | 2006年 / 19卷 / 4期

基金：

中国国家自然科学基金;

关键词：

Case adjustment; CBR; GAs; Intelligent early-warning support system;

D O I：

10.1007/s11424-006-0538-x

中图分类号：

学科分类号：

摘要：

Case-based reasoning (CBR) is an important reasoning technique of expert system. In this paper, the authors introduce CBR to intelligent early-warning support system, which could warn quantitatively for enterprise financial crisis and could warn qualitatively by expert's knowledge and experience. Furthermore, genetic algorithm is applied to case-based reasoning in CBR-IEWSS, which improves accuracy and efficiency of case retrieval. Last, the structure of CBR-IEWSS is given. © Springer Science + Business Media, Inc. 2006.

引用

页码：538 / 546

页数：8

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