Fuzzy entropy in adaptive fuzzy weighted linear regression analysis with application to estimate infant mortality rate
Other Title(s)
الأنتروبي الضبابي في تحميل الانحدار الخطي الضبابي الموزون المكيف مع تطبيق لتقدير معدل وفيات الرضع
Joint Authors
Source
Issue
Vol. 58, Issue 1C (31 Mar. 2017), pp.497-514, 18 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-03-31
Country of Publication
Iraq
No. of Pages
18
Main Subjects
Abstract EN
An adaptive fuzzy weighted linear regression model in which the output is based on the position and entropy of quadruple fuzzy numbers had dealt with.
The solution of the adaptive models is established in terms of the iterative fuzzy least squares by introducing a new suitable metric which takes into account the types of the influence of different imprecisions.
Furthermore, the applicability of the model is made by attempting to estimate the fuzzy infant mortality rate in Iraq using a selective set of inputs.
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American Psychological Association (APA)
Abbas, Ahmad Faruq& Husayn, Muhammad Jasim Muhammad. 2017. Fuzzy entropy in adaptive fuzzy weighted linear regression analysis with application to estimate infant mortality rate. Iraqi Journal of Science،Vol. 58, no. 1C, pp.497-514.
https://search.emarefa.net/detail/BIM-729561
Modern Language Association (MLA)
Abbas, Ahmad Faruq& Husayn, Muhammad Jasim Muhammad. Fuzzy entropy in adaptive fuzzy weighted linear regression analysis with application to estimate infant mortality rate. Iraqi Journal of Science Vol. 58, no. 1C (2017), pp.497-514.
https://search.emarefa.net/detail/BIM-729561
American Medical Association (AMA)
Abbas, Ahmad Faruq& Husayn, Muhammad Jasim Muhammad. Fuzzy entropy in adaptive fuzzy weighted linear regression analysis with application to estimate infant mortality rate. Iraqi Journal of Science. 2017. Vol. 58, no. 1C, pp.497-514.
https://search.emarefa.net/detail/BIM-729561
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 513-514
Record ID
BIM-729561