Risk evaluation in failure modes and effects analysis: hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information

Akram, Muhammad; Luqman, Anam; Alcantud, José Carlos R.

doi:10.1007/s00521-020-05350-3

Cited by 104 publications

(35 citation statements)

References 58 publications

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“…FMEA is as well a common tool use during the OP [6], however, FMEA is adding uncertainty to the RA since the intervention of the human final decision on what are the risks [7], [8]. Additionally, different studies are showing how to remove the uncertainty while using the FMEA combining Multicriteria methods [9], [10], [11], [12], [13]. Furthermore, Pythagorean Fuzzy Dimensional Analysis -FMEA-Value Stream Mapping (PFDA-FMEA-VSM) [14], is a proved method to remove the uncertainty during the RA.…”

Section: Introductionmentioning

confidence: 99%

PFDA-FMEA-VSM Application for Outsourcing Risk Analysis

Aguirre¹,

Pérez-Domínguez²,

Luviano-Cruz³

et al. 2022

Preprint

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Manufacturing corporations has the acceptance of the Outsourcing Process (OP) to improve industrial activities as well as to archive the revenue objectives, and with this, Risk Analysis (RA) tools are constantly used to assure expected results. Failure Mode and Effect Analysis (FMEA) is one of preferred RA tools, moreover, it is proven that FMEA adds uncertainty because of the human participation at the RA, afterward it is demonstrated that Pythagorean Fuzzy Dimensional Analysis – FMEA – Value Stream Mapping (PFDA-FMEA-VSM) method removes the uncertainty in RA, likewise it aids to the stakeholders for decision making, giving more advantages improving the use of the resources on the project. This document exhibits a real case scenario in a manufacturing firm applying PFDA-FMEA-VSM method adapted for manufacturing OP. The application of PFDA-FMEA-VSM shows solid RA results, removing the human intervention uncertainty added to the risk ranking, gives advantages to the stakeholders for visualize the main risks in detailed diagram, as well as make easier to take better decisions on where to apply resources and mitigate risks during OP.

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Section: Introductionmentioning

confidence: 99%

PFDA-FMEA-VSM Application for Outsourcing Risk Analysis

Aguirre¹,

Pérez-Domínguez²,

Luviano-Cruz³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…They implemented this method for the evaluation of disk productions and energy projects. Akram et al [6] have investigated risk evaluation in failure modes and effects analysis (FMEA) with the help of hybrid TOPSIS and ELEC-TRE I approaches under Pythagorean fuzzy information. Zhang and Xu [55] developed the TOPSIS method under Pythagorean fuzzy environment and implemented this method to evaluate the quality of private airline services.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Decision-Making Approach Under Complex Pythagorean Fuzzy N-Soft Sets

Akram¹,

Wasim²,

Al-Kenani³

2021

IJCIS

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The main objectives of this article include the formal statement of a new mathematical model of uncertain knowledge and the presentation of its potential applications. The novel hybrid model is called complex Pythagorean fuzzy N-soft set (CPFNSS) because it enjoys both the parametric structure of N-soft sets and the most prominent features of complex Pythagorean fuzzy sets in order to capture the nuances of two-dimensional inexact information. We demonstrate that this model serves as a competent tool for ranking-based modeling of parameterized fuzzy data. We propose some basic set-theoretical operations on CPFNSSs and explore some of their practical properties. Furthermore, we elaborate the Einstein and algebraic operations on complex Pythagorean fuzzy N-soft values (CPFNSVs). We interpret its relationships with contemporary theories to vindicate the versatility of the proposed model. Moreover, we develop three algorithms to unfold the application of proposed theory in multi-criteria decision-making (MCDM). Some illustrative applications give a practical justification for these strategies. Finally, we conduct a comparative analysis of the performance of these algorithms with existing MCDM techniques, namely, choice values and Dchoice values of Pythagorean fuzzy N-soft set (PFNSS), which validates the effectiveness of the proposed techniques.

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“…Significantly, uncertain information can be compared by similarity and dissimilarity measures (although other feasible strategies have been employed for similar purposes 17 ). These mathematical devices are employed to encapsulate the closeness and differences among fuzzy sets.…”

Section: Introductionmentioning

confidence: 99%

Improved generalized dissimilarity measure‐based VIKOR method for Pythagorean fuzzy sets

Khan

Ali

Kumam

et al. 2021

Int J of Intelligent Sys

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The compromise solution of the multi-criteria decision-making (MCDM) problem by the existing VIKOR method for Pythagorean fuzzy sets (PyFSs) is not closest to the positive ideal solution. This is because the defining function for VIKOR does not obey the axioms for a dissimilarity measure. Thus in this context, the existing notion of dissimilarity measures and the VIKOR method are controversial. This study aims to provide a new dissimilarity measure and refine the VIKOR method for PyFSs accordingly. We define a new dissimilarity measure for PyFSs and refine the existing VIKOR method. We discuss the additional properties of dissimilarity measures and

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Risk evaluation in failure modes and effects analysis: hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information

Cited by 104 publications

References 58 publications

PFDA-FMEA-VSM Application for Outsourcing Risk Analysis

PFDA-FMEA-VSM Application for Outsourcing Risk Analysis

A Hybrid Decision-Making Approach Under Complex Pythagorean Fuzzy N-Soft Sets

Improved generalized dissimilarity measure‐based VIKOR method for Pythagorean fuzzy sets

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