Fuzzy stress-strength reliability for weighted exponential distribution

Yazgan E., GÜRLER S., Esemen M., Sevinc B.

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, vol.38, no.1, pp.550-559, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.1002/qre.3000
  • Journal Name: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.550-559
  • Keywords: fuzzy reliability, maximum likelihood, mean remaining strength, stress-strength model, weighted exponential, INFERENCE
  • Dokuz Eylül University Affiliated: Yes

Abstract

This study considers the reliability of the stress-strength model in the presence of the fuzziness when the stress and strength variables have weighted exponential distribution with the common shape parameter. It obtains the mean remaining strength and fuzzy mean remaining strength for the weighted exponential distribution in order to calculate how long a component can live on average under the stress. The comparative simulation results with conventional and fuzzy approaches are presented to observe the effect of the parameter changes on the models using the maximum likelihood method for different sample sizes. In addition, the developed models are applied to two real data and estimation results were generated for two approaches.