Fuzzy Data Envelopment Analysis for Classification of Streaming Data

Authors

  • Alireza Alinezhad Associate Professor, Faculty of industrial and mechanical engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran
  • Amineh Tohidi Msc. Student, Faculty of industrial and mechanical engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran
  • Mohammad Amin Adibi Assistant Professor, Faculty of industrial and mechanical engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran
Abstract:

The classification of fuzzy uncertain data is considered one of the most challenging issues in data analysis. In spite of the significance of fuzzy data in mathematical programming, the development of the analytical methods of fuzzy data is slow. Therefore, the current study proposes a new fuzzy data classification method based on fuzzy data envelopment analysis (DEA) which can handle streaming data.The new method is tested by simulated data and the results indicate its effectiveness in facing uncertain data and variable conditions.

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Journal title

volume 1  issue 3

pages  1- 10

publication date 2016-11-01

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