System reliability estimation based on fuzzy Weibull distribution incorporating hexagonal fuzzy number

In this study, we used fuzzy Weibull distribution in a hexagonal fuzzy environment to assess the fuzzy reliability function, fuzzy hazard function and fuzzy mean time to failure of distinct configurations and systems. Firstly, we evaluated the system reliability, where the lifetime of components is represented by a Weibull distribution with fuzzy parameters in the form of hexagonal fuzzy number and secondly, this research focuses on fuzzy reliability evaluation for linear and circular consecutive k-out-of-n: F systems as well as series and parallel systems. Additionally, numerical examples are also given to show how fuzzy survival function and fuzzy hazard function vary with respect to time along with the tables and graphs. This research also presents a novel approach to determine system reliability by utilising a fuzzy number with six parameters.

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Publication Details

Journal
International Journal of Reliability and Safety
Published
2025-01-01
DOI
https://doi.org/10.1504/ijrs.2025.145527
Citations
4
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
5.21
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article

System reliability estimation based on fuzzy Weibull distribution incorporating hexagonal fuzzy number

Jaya Bhadauria, Dinesh Kumar
4 citations
International Journal of Reliability and Safety
Reliability and Maintenance Optimization
5.21
article

System reliability estimation based on fuzzy Weibull distribution incorporating hexagonal fuzzy number

Jaya Bhadauria, Dinesh Kumar
article en
4 citations

Abstract

In this study, we used fuzzy Weibull distribution in a hexagonal fuzzy environment to assess the fuzzy reliability function, fuzzy hazard function and fuzzy mean time to failure of distinct configurations and systems. Firstly, we evaluated the system reliability, where the lifetime of components is represented by a Weibull distribution with fuzzy parameters in the form of hexagonal fuzzy number and secondly, this research focuses on fuzzy reliability evaluation for linear and circular consecutive k-out-of-n: F systems as well as series and parallel systems. Additionally, numerical examples are also given to show how fuzzy survival function and fuzzy hazard function vary with respect to time along with the tables and graphs. This research also presents a novel approach to determine system reliability by utilising a fuzzy number with six parameters.

International Journal of Reliability and SafetyVol. 19(2)
Kumaun University (IN)
Openalex Percentile: Top 5%
Reliability and Maintenance Optimization
5.21
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System reliability estimation based on fuzzy Weibull distribution incorporating hexagonal fuzzy number — Jaya Bhadauria, Dinesh Kumar · International Journal of Reliability and Safety (2025) | TGRS Research Map | TGRS