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Information Journal Paper

Title

A NEW METHOD FOR DETERMINING BANKRUPTCY USING DEA AND ROUGH SET THEORY

Author(s)

BATAMIZ AIDA | HOSSEINZADEH SALJOOGHI FARANAK | SANAVI ALI AKBAR | Issue Writer Certificate 

Pages

  1-22

Abstract

 In the changing economic conditions and volatility in financial environments in commercial is very important for predict financial performance, One of these is predict financial crisis and BANKRUPTCY assessment. Data envelopment analysis (DEA) is a powerful tool available to managers that Benchmark your company's performance in their business activities. The conventional data envelopmentDEA models are to evaluate each DMU optimistically. DEA is evaluation model from the optimistic viewpoint. In fact it will be evaluated in optimistic state. However, other models have been introduced in the DEA to measure the efficiency with which the pessimistic viewpoint of their specific applications such as assessing the failures and BANKRUPTCY. In this paper combine ROUGH SET THEORY and a new model inDEA about BANKRUPTCY and it measure the efficiency and BANKRUPTCY with establishment of an information system and the use of indicators calculates BANKRUPTCY and efficiency using DEARough concepts and FUZZY ROUGH. The results of the model in determining bankruptcies reviewed the number of organization.

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    APA: Copy

    BATAMIZ, AIDA, HOSSEINZADEH SALJOOGHI, FARANAK, & SANAVI, ALI AKBAR. (2016). A NEW METHOD FOR DETERMINING BANKRUPTCY USING DEA AND ROUGH SET THEORY. ADVANCES IN MATHEMATICAL MODELING, 6(1), 1-22. SID. https://sid.ir/paper/243916/en

    Vancouver: Copy

    BATAMIZ AIDA, HOSSEINZADEH SALJOOGHI FARANAK, SANAVI ALI AKBAR. A NEW METHOD FOR DETERMINING BANKRUPTCY USING DEA AND ROUGH SET THEORY. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2016;6(1):1-22. Available from: https://sid.ir/paper/243916/en

    IEEE: Copy

    AIDA BATAMIZ, FARANAK HOSSEINZADEH SALJOOGHI, and ALI AKBAR SANAVI, “A NEW METHOD FOR DETERMINING BANKRUPTCY USING DEA AND ROUGH SET THEORY,” ADVANCES IN MATHEMATICAL MODELING, vol. 6, no. 1, pp. 1–22, 2016, [Online]. Available: https://sid.ir/paper/243916/en

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