Paper Info
Title
A Proposed Framework for Developing FMEA Method Using Pythagorean Fuzzy CODAS
Abstract
The purpose of this research article is to develop a hybridization between the Failure Mode and Effect Analysis (FMEA) method and the Combinative Distance-Based Assessment (CODAS) method under Pythagorean Fuzzy environment. The traditional FMEA procedure is based on the multiplication between the parameters of severity, occurrence, and detectability where everyone has equal relative importance; therefore, different combinations of these parameters can generate the same result creating uncertainty in the analysis. In this mode, the hybridization proposed in this research deal with relative importance of each parameter; in the fact to have a more suitable combination which consider the level of knowledge of the experts in the assessment. Finally, a numerical case was carried out concerning the public transportation service to validate our proposal; the results show that 31 failure modes and potential risks can be evaluated using user perceptions, a dominant with high level of knowledge about the public transportation service and an apprentice or common user, as team of experts and exploiting the subjectivity of the information in a mathematical model. Also, we compare the results with a variation of the proposed model with the multi-criteria method multi-objective optimization method by relationship analysis (MOORA); it was observed that the convergence of the failure modes depends on the nature of the mathematical model even under the same conditions at the start.
Year
DOI
Venue
2021
10.3390/sym13122236
SYMMETRY-BASEL
Keywords
DocType
Volume
FMEA, pythagorean fuzzy sets, CODAS, public transportation
Journal
13
Issue
Citations 
PageRank 
12
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Sara Almeraz-Durán100.34
Luis Asunción Pérez Dominguez200.34
David Luviano Cruz300.34
Jesús Israel Hernández Hernández400.34
Roberto Romero-López500.34
Delia J. Valles-Rosales632.24