ISSN 1008-2204
CN 11-3979/C

企业财务报表分析中的模糊数学方法研究

王刚, 韩立岩

王刚, 韩立岩. 企业财务报表分析中的模糊数学方法研究[J]. 北京航空航天大学学报社会科学版, 2004, 17(4): 42-48.
引用本文: 王刚, 韩立岩. 企业财务报表分析中的模糊数学方法研究[J]. 北京航空航天大学学报社会科学版, 2004, 17(4): 42-48.
WANG Gang, HAN Li-yan. Analysis of Financial Statement Using Fuzzy Methods[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2004, 17(4): 42-48.
Citation: WANG Gang, HAN Li-yan. Analysis of Financial Statement Using Fuzzy Methods[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2004, 17(4): 42-48.

企业财务报表分析中的模糊数学方法研究

详细信息
    作者简介:

    王刚(1974-),男,山东聊城人,博士研究生,研究方向为金融工程与风险管理.

  • 中图分类号: F224.9

Analysis of Financial Statement Using Fuzzy Methods

  • 摘要: 财务报表分析无论对于企业自身还是银行、政府监管部门和中介机构都是至关重要的。从财务报表数据的模糊性与传统分析方法的主观性问题出发,利用模糊多项式时间序列模型以及基于模糊聚类的模糊预测模型,进行财务报表的趋势分析和综合分析。实证研究表明,模型的精度较高,利用上述模型进行财务报表分析符合财务数据本身的特性,与已有文献相比,较好地解决了模糊参数的估计问题和模糊聚类模型的动态预测问题,将其应用于企业财务报表分析的实践是有一定实用价值的。
    Abstract: Analysis of financial statement is one of the most important matters not only to corporate itself but also to intermediary organs, commercial banks and related government departments. In this paper, based on fuzziness of financial data and subjectivity of existing research methods, fuzzy multinomial time series model, fuzzy clustering and forecasting model are presented to financial statement sequence and comprehensive analyzing through samples choosing from listing corporations. Case study shows that these models are fit for solving these problems and the precision of testing are satisfying. So, it is practicable and reasonable to apply these methods to financial statement analyzing.
  • [1] Tanaka H, Okuda T, Asai K. A Formulation of Fuzzy Decision Problems and Its Application to an Investments Problem[J]. Cybernetics, 1976, 5(1):25-30.
    [2] Lee C F. Financial Analysis and Planning: Theory and Application[M].Boston MA:Addison.wesley Publishing Corporation, 1985. 23-43.
    [3] Buckley J J. The Fuzzy Mathematics of Finance[J]. Fuzzy Sets and Systems, 1987, (21):57-73.
    [4] Kacprzyk J, Fedrizzi M.Fuzzy Regression Analysis[M]. Warsaw:Omnitec Press, 1992, (6):47-60.
    [5] Tanaka H, Ishibuchi H. A Possibilistic Regression Analysis Based on Linear Programming[A].Kacprzyk J,Fedrizzi M.Fuzzy Regression Analysis[C].Warsaw:Omnitech Press,1992, 57-78.
    [6] Pellizzari P, Pizzi C. Fuzzy Weighted Local Approximation for Financial Time Series Modeling and Forecasting[J]. Computational Intelligence for Financial Engineering. Proc IEEE/IAFE, 1997, (7):137-143.
    [7] Piramuthu S. Financial Credit Risk Evaluation with Neural and Neuro.fuzzy Systems[J]. European Journal of Operational Research, 1999,(21):112-310.
    [8] Bojadziev G, Bojadziev M. Fuzzy Logic for Business, Finance and Management[M]. River Edge NJ:World Scientific Publishing Crporcoting, 1997. 67-83.
    [9] Malhotra R, Malhotra D K. Differentiating between Good Credits and Bad Credits Using Neuro.fuzzy Systems[J]. European Journal of Operational Research, 2002,(136):190-211.
    [10] 邓春华.模糊数学在财务会计决策中的应用[J].会计研究,1997,(5): 43-45.
    [11] 王忠郴.我国养老金财务系统控制中的模糊数学方法[J].中国管理科学,1998,(12): 52-58.
    [12] 毛定祥.基于多元统计分析和模糊综合评判的企业财务信用综合评价[J].上海大学学报,2000,(6): 261-265.
    [13] 吴丽民.多因素层次模糊综合评价法在上市公司盈利能力评价中的应用[J]. 技术经济与管理研究,2001,(5):65-67.
    [14] 周敏,王新宇.基于模糊优选和神经网络的企业财务危机预警[J].管理科学学报,2002,(6): 86-90.
    [15] Han Liyan. General Fuzzy Vector.valued Forecast.A Kind of Nonequational Methods[A]. Proceedings of The Second International Conference on Systems Engineering[C]. Beijing: International Academic Publishers, 1993.55-95.
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出版历程
  • 收稿日期:  2003-09-27
  • 发布日期:  2004-12-24

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