Classification of Streaming Fuzzy DEA Using Self-Organizing Map

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 availabl...

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Bibliographic Details
Published in:Journal of optimization in industrial engineering 2019-03, Vol.12 (1), p.53-61
Main Authors: Alireza Alinezhad, Mohammad Amin Adibi, Amine Tohidi
Format: Article
Language:English
Subjects:
Classification
Data Envelopment Analysis
Mathematical Programming
Self-Organizing Map
Streaming Fuzzy Data
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Summary: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.
ISSN:2251-9904
2423-3935
DOI:10.22094/JOIE.2018.621.1399