Empirical reliability functions based on fuzzy life time data

Article type: Research Article

Authors: Shafiq, Muhammad | Viertl, Reinhard

Affiliations: Institute of Statistics and Probability Theory, Vienna University of Technology, Vienna, Austria

Note: [] Corresponding author. Muhammad Shafiq, Institute of Statistics and Probability Theory, Vienna University of Technology, Vienna, Austria. E-mail: [email protected] Kohat University of Science & Technology, Kohat, Pakistan.

Abstract: Reliability analysis is one of the significant applications of statistics. Many parametric and non-parametric techniques are available for reliability estimation based on precise life time observations, without considering the uncertainty of individual observations. But life time observations are not precise measurements but more or less fuzzy. Therefore by considering life time measurements as precise numbers we may lose information and get misleading results. This study is aimed to present some non-parametric estimates for reliability functions based on fuzzy life time data.

Keywords: Characterizing function, fuzzy number, non-precise data, real measurement results

DOI: 10.3233/IFS-141351

Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 707-711, 2015