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.
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This research is supported by National Science Foundation of China under Grant No. 70572038 and State Key Laboratory of Mechanical Manufacturing System Engineering under the research grant of 2006∼2007.
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Lei, Z., Yamada, Y., Huang, J. et al. Intelligent Early-Warning Support System for Enterprise Financial Crisis Based on Case-Based Reasoning. Jrl Syst Sci & Complex 19, 538–546 (2006). https://doi.org/10.1007/s11424-006-0538-x
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DOI: https://doi.org/10.1007/s11424-006-0538-x