Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure

Analysis and modeling of a complex physical system, particularly EEG signals involved vague and uncertain information. The approach introduced by Kosanovic using temporal fuzzy set to model a complex system particularly the EEG signal does not address the problem of uncertainty for the time of occ...

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Main Authors: Abdullahi, Mujahid, Tahir Ahmad, Vinod Ramachandran
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:http://journalarticle.ukm.my/15900/
http://journalarticle.ukm.my/15900/1/2.pdf
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author Abdullahi, Mujahid
Tahir Ahmad,
Vinod Ramachandran,
author_facet Abdullahi, Mujahid
Tahir Ahmad,
Vinod Ramachandran,
author_sort Abdullahi, Mujahid
building UKM Institutional Repository
collection Online Access
description Analysis and modeling of a complex physical system, particularly EEG signals involved vague and uncertain information. The approach introduced by Kosanovic using temporal fuzzy set to model a complex system particularly the EEG signal does not address the problem of uncertainty for the time of occurrence. In this paper, an ordered discrete Z-number is used to construct temporal discrete Z-number to assess EEG signal data of an epileptic seizure for the first time. The proposed temporal discrete Z-number is able to accommodate the problem of uncertainty with regards to the time of occurrence for a given seizure by using and modifying the method for measuring the uncertainty of Z-number.
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spelling oai:generic.eprints.org:159002020-12-04T07:57:37Z http://journalarticle.ukm.my/15900/ Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure Abdullahi, Mujahid Tahir Ahmad, Vinod Ramachandran, Analysis and modeling of a complex physical system, particularly EEG signals involved vague and uncertain information. The approach introduced by Kosanovic using temporal fuzzy set to model a complex system particularly the EEG signal does not address the problem of uncertainty for the time of occurrence. In this paper, an ordered discrete Z-number is used to construct temporal discrete Z-number to assess EEG signal data of an epileptic seizure for the first time. The proposed temporal discrete Z-number is able to accommodate the problem of uncertainty with regards to the time of occurrence for a given seizure by using and modifying the method for measuring the uncertainty of Z-number. Penerbit Universiti Kebangsaan Malaysia 2020-09 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/15900/1/2.pdf Abdullahi, Mujahid and Tahir Ahmad, and Vinod Ramachandran, (2020) Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure. Sains Malaysiana, 49 (9). pp. 2043-2051. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid49bil9_2020/KandunganJilid49Bil9_2020.html
spellingShingle Abdullahi, Mujahid
Tahir Ahmad,
Vinod Ramachandran,
Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure
title Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure
title_full Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure
title_fullStr Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure
title_full_unstemmed Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure
title_short Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure
title_sort temporal discrete z-number and its application in assessing eeg signal data of epileptic seizure
url http://journalarticle.ukm.my/15900/
http://journalarticle.ukm.my/15900/
http://journalarticle.ukm.my/15900/1/2.pdf