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

Time cited in Arcif : 
1

Joint Authors

Abbas, Ahmad Faruq

Source

Iraqi Journal of Science

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

Physics

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.

-

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