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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| 言語: | English |
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Penerbit Universiti Kebangsaan Malaysia
2020
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| オンライン･アクセス: | http://journalarticle.ukm.my/15900/1/2.pdf http://journalarticle.ukm.my/15900/ http://www.ukm.my/jsm/malay_journals/jilid49bil9_2020/KandunganJilid49Bil9_2020.html |
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my-ukm.journal.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 |
| institution |
Universiti Kebangsaan Malaysia |
| building |
Tun Sri Lanang Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Kebangsaan Malaysia |
| content_source |
UKM Journal Article Repository |
| url_provider |
http://journalarticle.ukm.my/ |
| language |
English |
| 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. |
| format |
Article |
| author |
Abdullahi, Mujahid Tahir Ahmad, Vinod Ramachandran, |
| spellingShingle |
Abdullahi, Mujahid Tahir Ahmad, Vinod Ramachandran, Temporal discrete Z-number and its application in assessing EEG signal data of epileptic seizure |
| author_facet |
Abdullahi, Mujahid Tahir Ahmad, Vinod Ramachandran, |
| author_sort |
Abdullahi, Mujahid |
| title |
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_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_sort |
temporal discrete z-number and its application in assessing eeg signal data of epileptic seizure |
| publisher |
Penerbit Universiti Kebangsaan Malaysia |
| publishDate |
2020 |
| url |
http://journalarticle.ukm.my/15900/1/2.pdf http://journalarticle.ukm.my/15900/ http://www.ukm.my/jsm/malay_journals/jilid49bil9_2020/KandunganJilid49Bil9_2020.html |
| _version_ |
1685579812682334208 |
| score |
13.250246 |