Year: 1398
COI: JR_JOIE-12-1_006
Language: EnglishView: 272
This Paper With 9 Page And PDF Format Ready To Download
با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 9 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:
Authors
Abstract:
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.
Keywords:
Data Envelopment Analysis , Mathematical Programming , classification , Streaming Fuzzy Data , Self-Organizing Map
Paper COI Code
This Paper COI Code is JR_JOIE-12-1_006. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:https://civilica.com/doc/867972/
How to Cite to This Paper:
If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:Alinezhad, Alireza and Adibi, Mohammad Amin and Tohidi, Amine,1398,Classification of Streaming Fuzzy DEA Using Self-Organizing Map,https://civilica.com/doc/867972
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :- Adibi, M. A., & Shahrabi, J. (2015). Online Anomaly Detection ...
- Adibi, M. A., & Shahrabi, J. A time-varying quadratic programming ...
- Aliahmadipour, L., Torra, V., & Eslami, E. (2017). On Hesitant ...
- Chen, T. Y., Ku, T. C., &Tsui, C. W. (2008). ...
- Colubi, A., González-Rodríguez, G., Gil, M. Á., &Trutschnig, W. (2011). ...
- Forghani, Y., SadoghiYazdi, H., &Effati, S. (2013). Classification of fuzzy ...
- Guerrero-Enamorado, A., Morell, C., Noaman, A. Y., & Ventura, S. ...
- Jiang, C., & Lin, W. (2015). DEARank: a data-envelopment-analysis-based ranking ...
- León, T., Liern, V., Ruiz, J. L., &Sirvent, I. (2003). ...
- Lofberg, J. (2010). Yalmip. ...
- Mena-Torres, D., & Aguilar-Ruiz, J. S. (2014). A similarity-based approach ...
- Pendharkar, P. C. (2011). A hybrid radial basis function and ...
- Pendharkar, P. C., &Troutt, M. D. (2014). Interactive classification using ...
- Quost, B., &Denœux, T. (2016). Clustering and classification of fuzzy ...
- Shahraki, H., &Zahiri, S. H. (2015, March). Particle swarm classifier ...
- Wei, Q., Chang, T. S., & Han, S. (2014). Quantile–DEA ...
- Yan, H., & Wei, Q. (2011). Data envelopment analysis classification ...
- Yang, L. H., Wang, Y. M., Lan, Y. X., Chen, ...
- Yazdi, H. S., Yazdi, M. S., &Vahedian, A. (2009). Fuzzy ...
- Zhang, Y., Yang, C., Yang, A., Xiong, C., Zhou, X., ...
Research Info Management
اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.
Scientometrics
The specifications of the publisher center of this Paper are as follows:
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.
Share this page
More information about COI
COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.
The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.