Classification of Streaming Fuzzy DEA Using Self-Organizing Map

Journal of Optimization in Industrial Engineering

مقاله 6، دوره 12، شماره 1 - شماره پیاپی 25، خرداد 2019، صفحه 53-61   

نوع مقاله: Original Manuscript

شناسه دیجیتال (DOI): 10.22094/joie.2018.621.1399

نویسندگان

Alireza Alinezhad^* ؛ Mohammad Amin Adibi؛ Amine Tohidi

Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

چکیده

The classification of fuzzy data is considered as the most challenging areas of data analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis. However, there are significant advances in modeling systems in which fuzzy data are available in the field of mathematical programming. In order to exploit the results of the researches on fuzzy mathematical programming, in this study, a new fuzzy data classification method based on data envelopment analysis (DEA) is provided when fuzzy data are imported as a stream. The proposed method can classify data that changes are created in their behavioral pattern over time using updating the criteria of predicting fuzzy data class. To reduce computational time, fuzzy self-organizing map (SOM) is used to compress incoming data. The new method was tested by simulated data and the results indicated the feasibility of this technique in the face of uncertain and variable conditions.

کلیدواژه‌ها

Data Envelopment Analysis, Mathematical Programming؛ Classification؛ Streaming Fuzzy Data؛ Self-Organizing Map

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