Fuzzy Logic in the Estimate of Reliability Function for K - Components Systems

Authors

• Intisar Uraybi Fadam Al-Duri, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
• Laith Fadel Sayed Hussein, Department of Statistic, Mustansiriyah University, Iraq

Abstract

One of the important things provided by fuzzy model is to identify the membership functions. In the fuzzy reliability applications with failure functions of the kind who cares that deals with positive variables .There are many types of membership functions studied by many researchers, including triangular membership function, trapezoidal membership function and bell-shaped membership function. In I research we used beta function. Based on this paper study classical method to obtain estimation fuzzy reliability function for both series and parallel systems.

DOI

10.33095/jeas.v22i87.717

Subject Area

Statistical

First Page

391

Last Page

404

Recommended Citation

Fadam Al-Duri, I. U., & Sayed Hussein, L. F. (2016). Fuzzy Logic in the Estimate of Reliability Function for K - Components Systems. Journal of Economics and Administrative Sciences, 22(87), 391-404. https://doi.org/10.33095/jeas.v22i87.717