Interval-valued neutrosophic failure mode and effect analysis

Issue title: Special section: Decision Making Using Intelligent and Fuzzy Techniques

Guest editors: Cengiz Kahraman

Article type: Research Article

Authors: Haktanır, Elif^{a; b; *} | Kahraman, Cengiz^a

Affiliations: [a] Department of Industrial Engineering, Istanbul Technical University, Besiktas, Istanbul, Turkey | [b] Department of Industrial Engineering, Altinbas University, Bagcilar, Istanbul, Turkey

Correspondence: [*] Corresponding author. Elif Haktanır, E-mail: [email protected].

Abstract: Failure mode and effects analysis (FMEA) is a structured approach for discovering possible failures that may occur in the design of a product or process. Since classical FMEA is not sufficient to represent the vagueness and impreciseness in human decisions and evaluations, many extensions of ordinary fuzzy sets such as hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, spherical fuzzy sets, and picture fuzzy sets. Classical FMEA has been handled to capture the uncertainty through these extensions. Neutrosophic sets is a different extension from the others handling the uncertainty parameters independently. A novel interval-valued neutrosophic FMEA method is developed in this study. The proposed method is presented in several steps with its application to an automotive company in order to prioritize the potential causes of failures during the design process by considering multi-experts’ evaluations.

Keywords: Failure mode and effect analysis, interval valued neutrosophic sets, risk priority number

DOI: 10.3233/JIFS-189121

Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6591-6601, 2020