Abstract
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.
| Original language | English |
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| Title of host publication | Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 |
| Pages | 45-49 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 - Jakarta Duration: 2010 Dec 2 → 2010 Dec 3 |
Other
| Other | 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 |
|---|---|
| City | Jakarta |
| Period | 10/12/2 → 10/12/3 |
Keywords
- Convex hull
- Fuzzy random regression
- Fuzzy random variables
- Intelligent data analysis
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Control and Systems Engineering