DESIGNING A BANKRUPTCY PREDICTION MODEL USING ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM

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ZOHRI M.; AFSHAR KAZEMI M.A.

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Paper Information

Journal: FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT) Year:2013 | Volume:3 | Issue:13 Page(s): 51-72

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Title

DESIGNING A BANKRUPTCY PREDICTION MODEL USING ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM

Author(s)

ZOHRI M. | AFSHAR KAZEMI M.A. | Issue Writer Certificate

Keywords

NEURO FUZZY NETWORK - BANKRUPTCY PREDICTION-FINANCIAL FACTORS - MARKET FACTORSQ2

Abstract

In order to study the prediction of corporate bankruptcy using fuzzy neural network models have the ability to stock in a dynamic and uncertain environment, it makes possible.The fuzzy variable using different words to define each indicator has been identified And with each membership functions using neural networks to create a learning system has been attempted. Among the various models of neural networks, multi-layer perceptron network, the nipple, with the error back propagation learning rule is selected. Here are four fuzzy neural network is used.Bankruptcy in order to identify the parameters affecting the final variables in three major categories as inputs to the neural network and fuzzy liquidity, leverage and the market is considered.Neural networks and fuzzy outputs liquidity, leverage and market as the input fuzzy neural network to predict bankruptcy of companies can be entered and exhaust the stock of pharmaceutical companies shows that the probability of bankruptcy.Performance of neural networks in fuzzy environment, a fuzzy inference system Sugeno and J. Bell membership functions is evaluated. The research results obtained with a model to predict the optimal minimum error is presented.

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APA: Copy

ZOHRI, M., & AFSHAR KAZEMI, M.A.. (2013). DESIGNING A BANKRUPTCY PREDICTION MODEL USING ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 3(13), 51-72. SID. https://sid.ir/paper/197776/en

Vancouver: Copy

ZOHRI M., AFSHAR KAZEMI M.A.. DESIGNING A BANKRUPTCY PREDICTION MODEL USING ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2013;3(13):51-72. Available from: https://sid.ir/paper/197776/en

IEEE: Copy

M. ZOHRI, and M.A. AFSHAR KAZEMI, “DESIGNING A BANKRUPTCY PREDICTION MODEL USING ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM,” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 3, no. 13, pp. 51–72, 2013, [Online]. Available: https://sid.ir/paper/197776/en

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