A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset

A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset

Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effec...

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Bibliographic Details
Main Authors: Dikshit-Ratnaparkhi A., Bormane D., Ghongade R.
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2019-06-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
Hesitant Fuzzy Sets
ECG
Correlation Coefficients
Entropy
Weights
Online Access:http://jbpe.ir/Journal_OJS/JBPE/index.php/jbpe/article/view/1033/525

Internet

http://jbpe.ir/Journal_OJS/JBPE/index.php/jbpe/article/view/1033/525

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