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    Going Concern Prediction of Iranian Companies by Using Fuzzy C-Means 

    Type: Journal Paper
    Author : مهدی مرادی; مهدی صالحی; هادی صدوقی یزدی; Mohammad Ebrahim Gorgani; Mahdi Moradi; Mahdi Salehi; Hadi Sadoghi Yazdi
    Year: 2012
    Abstract:

    Decision-making problems in the area of financial status evaluation have been considered very important. Making in- correct decisions in firms is very likely to cause financial crises and distress. Predicting going concern ...

    Management Assessment of Going Concern Based on Data Mining Using Adaptive Network Based Fuzzy Inference Systems (ANFIS) 

    Type: Conference Paper
    Author : Fezeh Zahedi Fard; مهدی صالحی; Mahdi Salehi
    Year: 2012
    Abstract:

    Going concern is a fundamental concept for the preparation of financial statements by management. This paper has employed a data mining approach for going concern prediction (GCP) and has applied Adaptive Network Based Fuzzy Inference Systems (ANFIS...

    Financial Distress Prediction of Iranian Companies by Using Data Mining Techniques 

    Type: Journal Paper
    Author : مهدی مرادی; مهدی صالحی; Mohammad Ebrahim Ghorgani; هادی صدوقی یزدی; Mahdi Moradi; Mahdi Salehi; Hadi Sadoghi Yazdi
    Year: 2013
    Abstract:

    Decision-making problems in the area of financial status evaluation are considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Predicting financial distress ...

    Data Mining Approach Using Practical Swarm Optimization (PSO) to Predicting Going Concern: Evidence from Iranian Companies 

    Type: Journal Paper
    Author : مهدی صالحی; Fezeh Zahedi Fard; Mahdi Salehi
    Year: 2013
    Abstract:

    Purpose - Going concern is one of fundamental concepts in accounting and auditing and sometimes the assessment of a company’s going concern status that is a tough process. Various going concern prediction models’ based on statistical and data mining...

    Data Mining Approach to Prediction of Going Concern Using Classification and Regression Tree (CART) 

    Type: Journal Paper
    Author : مهدی صالحی; Fezeh Zahedi Fard; Mahdi Salehi
    Year: 2013
    Abstract:

    This paper has employed a data mining approach for Going Concern Prediction (GCP) for one year ahead and has applied Classification and Regression Tree (CART) and Naïve Bayes Bayesian Network (NBBN) based on feature selection method in Iranian firms...

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