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

• Main Authors: Abdullahi, Mujahid, Ahmad, Tahir, Ramachandran, Vinod
• Format: Article
• Language: English
• Published: Penerbit UKM 2020
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/91474/1/TahirAhmad2020_TemporalDiscreteZNumberanditsApplication.pdf; http://eprints.utm.my/id/eprint/91474/; http://dx.doi.org/10.17576/jsm-2020-4909-02

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.