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

• Main Authors: Abdullahi, Mujahid, Tahir Ahmad, Vinod Ramachandran
• Format: Article
• Language: English
• Published: Penerbit Universiti Kebangsaan Malaysia 2020
• Online Access: http://journalarticle.ukm.my/15900/1/2.pdf; http://journalarticle.ukm.my/15900/; http://www.ukm.my/jsm/malay_journals/jilid49bil9_2020/KandunganJilid49Bil9_2020.html
• Institution: Universiti Kebangsaan Malaysia

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.