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.
Skip Nav Destination
,
,
Article navigation
4 December 2019
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2018 (MATHTECH2018): Innovative Technologies for Mathematics & Mathematics for Technological Innovation
10–12 December 2018
Penang, Malaysia
Research Article|
December 04 2019
Intuitionistic fuzzy set: FEEG image representation
Suzelawati Zenian;
Suzelawati Zenian
a)
1
Department of Mathematics with Computer Graphics, Faculty of Science and Natural Resources, Universiti Malaysia Sabah
, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
a)Corresponding author: [email protected]
Search for other works by this author on:
Tahir Ahmad;
Tahir Ahmad
b)
2
Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia
, 81310 UTM, Johor Bahru, Malaysia
3
Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia
, 81310 UTM, Johor Bahru, Malaysia
Search for other works by this author on:
Amidora Idris
Amidora Idris
c)
3
Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia
, 81310 UTM, Johor Bahru, Malaysia
Search for other works by this author on:
Suzelawati Zenian
1,a)
Tahir Ahmad
2,3,b)
Amidora Idris
3,c)
1
Department of Mathematics with Computer Graphics, Faculty of Science and Natural Resources, Universiti Malaysia Sabah
, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
2
Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia
, 81310 UTM, Johor Bahru, Malaysia
3
Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia
, 81310 UTM, Johor Bahru, Malaysia
AIP Conf. Proc. 2184, 060054 (2019)
Citation
Suzelawati Zenian, Tahir Ahmad, Amidora Idris; Intuitionistic fuzzy set: FEEG image representation. AIP Conf. Proc. 4 December 2019; 2184 (1): 060054. https://doi.org/10.1063/1.5136486
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
The implementation of reflective assessment using Gibbs’ reflective cycle in assessing students’ writing skill
Lala Nurlatifah, Pupung Purnawarman, et al.
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Related Content
Intuitionistic fuzzy approach in enhancing image of flat EEG
AIP Conf. Proc. (July 2014)
Flat EEG image enhancement using type-2 fuzzy set
AIP Conf. Proc. (March 2024)
Flat electroencephalography’s cluster centers movement tracking during epileptic seizure
AIP Conf. Proc. (September 2018)
Flat EEG image enhancement via fuzzy contrast enhancement techniques
AIP Conf. Proc. (September 2024)
Fuzzy topological digital space and digital fuzzy spline of electroencephalography during epileptic seizures
AIP Conf. Proc. (August 2017)