Zenian, S. and Ahmad, T. and Idris, A. (2019) Intuitionistic fuzzy set: feeg image representation. In: 1st International Conference on Mathematical Sciences and Technology 2018: Innovative Technologies for Mathematics and Mathematics for Technological Innovation, MathTech 2018, 10-12 Dec 2018, Penang Island, Malaysia.
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Official URL: http://dx.doi.org/10.1063/1.5136486
Abstract
Flat Electroencephalography (fEEG) is a technique that mapped high dimensional signal into low dimensional space. An image of fEEG which is in grayscale is obtained via fuzzy approach by the process of digitization and quantization. In this paper, the enhancement of fEEG images of two epileptic patients at varied time are presented. The images are enhanced by using intuitionistic fuzzy set theory (IFS). Moreover, the quality test of the images is determined by mean structural similarity index measure (MSSIM) for particular values of parameter namely lambda, λ in the Sugeno type intuitionistic fuzzy generator. The relationship between the membership, non-membership, and hesitation degree for λ=2 and λ=5 (of patient A at t=1) are demonstrated graphically.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | flat electroencephalography, intuitionistic fuzzy set theory (IFS) |
| Subjects: | Q Science > QC Physics |
| Divisions: | Science |
| ID Code: | 92667 |
| Deposited By: | Narimah Nawil |
| Deposited On: | 28 Oct 2021 10:09 |
| Last Modified: | 28 Oct 2021 10:09 |
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