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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2020
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| Online Access: | 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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| Summary: | 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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