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
收藏
页码：538 / 546
页数：8
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