抄録
In this study, we present a new idea dealing with the analysis of fuzzy random variables (FRVs) being treated as samples of data. The proposed concept can be used to model various real-life situations where uncertainty is not only present in the form of randomness but also comes in the form of imprecision described in terms of fuzzy sets. We propose a hybrid approach, which combines a convex hull approach (called Beneath-Beyond algorithm) with a fuzzy random regression analysis. Falling under the umbrella of intelligent data analysis (IDA) tool, this approach is suitable for real-time implementation of data analysis. For a fuzzy random data set, we include simulation results and highlight two main advantages, namely a decrease of required analysis time and a reduction of computational complexity. This emphasizes that the proposed IDA approach becomes an efficient way for real-time data analysis.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 |
ページ | 45-49 |
ページ数 | 5 |
DOI | |
出版ステータス | Published - 2010 |
イベント | 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 - Jakarta 継続期間: 2010 12月 2 → 2010 12月 3 |
Other
Other | 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 |
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City | Jakarta |
Period | 10/12/2 → 10/12/3 |
ASJC Scopus subject areas
- コンピュータ ネットワークおよび通信
- コンピュータ サイエンスの応用
- 制御およびシステム工学