Analytical fuzzy approach to biological data analysis
Joint Authors
Zhang, Weiping
Yang, Jingzhi
Fang, Yanling
Chen, Huanyu
Mao, Yihua
Kumar, Mohit
Source
Saudi Journal of Biological Sciences
Issue
Vol. 24, Issue 3 (31 Mar. 2017), pp.563-573, 11 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Saudi Arabia
No. of Pages
11
Main Subjects
Topics
Abstract EN
The assessment of the physiological state of an individual requires an objective evaluation of biological data while taking into account both measurement noise and uncertainties arising from individual factors.
We suggest to represent multi-dimensional medical data by means of an optimal fuzzy membership function.
A carefully designed data model is introduced in a completely deterministic framework where uncertain variables are characterized by fuzzy membership functions.
The study derives the analytical expressions of fuzzy membership functions on variables of the multivariate data model by maximizing the over-uncertainties-aver aged-log-membership values of data samples around an initial guess.
The analytical solution lends itself to a practical modeling algorithm facilitating the data classification.
The experiments performed on the heartbeat interval data of 20 subjects verified that the proposed method is competing alternative to typically used pattern recognition and machine learning algorithms.
American Psychological Association (APA)
Zhang, Weiping& Yang, Jingzhi& Fang, Yanling& Chen, Huanyu& Mao, Yihua& Kumar, Mohit. 2017. Analytical fuzzy approach to biological data analysis. Saudi Journal of Biological Sciences،Vol. 24, no. 3, pp.563-573.
https://search.emarefa.net/detail/BIM-761766
Modern Language Association (MLA)
Zhang, Weiping…[et al.]. Analytical fuzzy approach to biological data analysis. Saudi Journal of Biological Sciences Vol. 24, no. 3 (Mar. 2017), pp.563-573.
https://search.emarefa.net/detail/BIM-761766
American Medical Association (AMA)
Zhang, Weiping& Yang, Jingzhi& Fang, Yanling& Chen, Huanyu& Mao, Yihua& Kumar, Mohit. Analytical fuzzy approach to biological data analysis. Saudi Journal of Biological Sciences. 2017. Vol. 24, no. 3, pp.563-573.
https://search.emarefa.net/detail/BIM-761766
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 573
Record ID
BIM-761766