@article{MAKHILLTSS2016112824053,
    title = {Predicting of the Financial Crisis by Using the Financial Ratios and Presentation of
Sufficient Prediction with Approach the Artificial Neural
Networks and Fuzzy Nero},
    journal = {The Social Sciences},
    volume = {11},
    number = {28},
    pages = {6818-6825},
    year = {2016},
    issn = {1818-5800},
    doi = {sscience.2016.6818.6825},
    url = {https://makhillpublications.co/view-article.php?issn=1818-5800&doi=sscience.2016.6818.6825},
    author = {Najmeh,Ali and},
    keywords = {Financial crisis,financial ratios,artificial neural networks,models nrvfazy,extracted},
    abstract = {This study provide a comprehensive definition of financial crisis, using financial ratios and Artificial
Intelligence techniques (Artificial Neural Network and Fuzzy Nero) model to predict the financial crisis of listed
companies in Tehran Stock Exchange (automotive and parts manufacturing) are extracted. The aim of the
present study and practical perspective on the nature and methods of causal and quasi-experimental research
is considered. In this study, 126 companies-since the sample was taken and the required information was
extracted from the financial statements of these companies. In this regard, MATLAB and SPSS Software was
used to test hypotheses and build models . Findings indicate that the size of financial ratios to predict financial
crises management is a significant relationship. Also Nrvfazy 85% confidence rule extracted from the model were
estimated.}
    }