Temporal Discrete Z-Number and Its Application in Assessing EEG Signal Data of Epileptic Seizure
| Autor: | Mujahid Abdullahi, Tahir Ahmad, Vinod Ramachandran |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Multidisciplinary
Quantitative Biology::Neurons and Cognition medicine.diagnostic_test Computer science business.industry Physics::Medical Physics Fuzzy set Complex system Physical system Pattern recognition Construct (python library) Electroencephalography Signal ComputingMethodologies_PATTERNRECOGNITION Z number medicine Artificial intelligence Epileptic seizure medicine.symptom business |
| Zdroj: | Sains Malaysiana. 49:2043-2051 |
| ISSN: | 0126-6039 |
| DOI: | 10.17576/jsm-2020-4909-02 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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