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

Zhanbo Lei*, Yoshiyasu Yamada, Jihong Huang, Youmin Xi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)538-546
Number of pages9
JournalJournal of Systems Science and Complexity
Volume19
Issue number4
DOIs
Publication statusPublished - Dec 2006
Externally publishedYes

Keywords

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

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