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
相关论文
共 50 条
  • [41] Integrating case-based reasoning and hypermedia documentation for intelligent product support
    Pham, DT
    Setchi, RM
    [J]. ADVANCES IN MANUFACTURING TECHNOLOGY - XV, 2001, : 111 - 116
  • [42] Intelligent support of engineering analysis using ontology and case-based reasoning
    Wriggers, Peter
    Siplivaya, Marina
    Joukova, Irina
    Slivin, Roman
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2007, 20 (05) : 709 - 720
  • [43] A model based on support vector machine for early warning financial crisis
    Wu, Dong-Mei
    Zhu, Jun
    Zhuang, Xin-Tian
    Yang, Lin
    [J]. Dongbei Daxue Xuebao/Journal of Northeastern University, 2010, 31 (04): : 601 - 604
  • [44] A Study on KLR Financial Crisis Early-Warning Model
    Shi, Jianping
    Gao, Yu
    [J]. FRONTIERS OF ECONOMICS IN CHINA, 2010, 5 (02) : 254 - 275
  • [45] An Intelligent System for Driving Trains Using Case-Based Reasoning
    Borges, Andre Pinz
    Dordal, Osmar Betazzi
    Vecino Sato, Denise Maria
    Avila, Braulio Coelho
    Enembreck, Fabricio
    Scalabrin, Edson Emilio
    [J]. PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2012, : 1694 - 1699
  • [46] A case-based reasoning approach to intelligent maintenance training system
    Wang, L
    Lou, JA
    [J]. ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 5155 - 5158
  • [47] A System based on Ontology and Case-Based Reasoning to Support Distributed Teams
    Rocha, Rodrigo G. C.
    Azevedo, Ryan
    Cassimiro, Dimas
    Fernandes, Renan
    Cesar, Ygor
    Espinhara, Diogo
    Tavares, Eduardo
    Oliveira, Amanda
    Franca, Gabriel
    Rodrigues, Cleyton
    Meira, Silvio
    [J]. 2015 12TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY - NEW GENERATIONS, 2015, : 403 - 408
  • [48] Intelligent Support of Knowledge Transformation based on Integration of Case-based and Rule-based Reasoning
    Avdeenko, Tatiana
    [J]. PROCEEDINGS OF THE 2017 8TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING (IC4E 2017), 2015, : 66 - 71
  • [49] Establish a Financial Crisis Early-Warning System Model for Chinese Listed Companies
    Hao, Junzhang
    Cui, Yujie
    [J]. 2013 INTERNATIONAL CONFERENCE ON MANAGEMENT (ICM 2013), 2013, : 541 - 547
  • [50] Intelligent System for Premature Babies Healthcare at Home based on Case-based Reasoning
    Lopez, Beatriz
    Gamero, Fco. I.
    Coll, Jordi
    Mordvaniuk, Natalia
    Bassols, Judit
    Bargallo, Eva
    Guarch, Borja
    Lopez-Bermejo, Abel
    [J]. PROCEEDINGS IWBBIO 2014: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1 AND 2, 2014, : 1278 - 1289
12345