2021
DOI: 10.1016/j.eswa.2020.114518
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Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information

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Cited by 73 publications
(20 citation statements)
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“…Furthermore, the presented MADM model can overcome the flaw of using the single aggregation operator (either the OZNWAM operator or OZNWGM operator) and make up for the prejudices of both. Generally, the superiority of this study is that the presented MADM model not only strengthens the reliability level of OFVs but also makes the decision results more reliable and flexible than existing methods [3,4,24,25,28].…”
Section: Discussionmentioning
confidence: 95%
See 1 more Smart Citation
“…Furthermore, the presented MADM model can overcome the flaw of using the single aggregation operator (either the OZNWAM operator or OZNWGM operator) and make up for the prejudices of both. Generally, the superiority of this study is that the presented MADM model not only strengthens the reliability level of OFVs but also makes the decision results more reliable and flexible than existing methods [3,4,24,25,28].…”
Section: Discussionmentioning
confidence: 95%
“…en, other researchers also introduced a hybrid method of PFSs for MADM [24] and a digraph and matrix approach for risk evaluations [25]. As the generalization of PFSs, the notion of generalized OFVs [26][27][28] was introduced to flexibly present the hybrid information range of the truth-and falsehood-membership degrees regarding different values of the parameter q. en, some aggregation operators of q-rung orthopair fuzzy sets/ values (q-ROFSs/q-ROFVs) [29][30][31] were presented and applied in MADM.…”
Section: Introductionmentioning
confidence: 99%
“…In the first step, the digraph is used to reveal the relationships of multiple factors in relation to each other (Virmani et al 2021 ). A digraph that visually presents the system is advantageous for presenting the model and relationships (Luqman et al 2021 ). In the second step, the matrix representation is developed to analyse the graphic representation (Mangla et al 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…The risk matrices of the presented approach follow the application of the ISO 3100 and were developed to avoid risk ranking reversal errors as Baybutt reports [69,70], but the limitations of this study are directly related to the design of these risk matrices' development and the uncertain process of evaluation. Previous studies propose the use of fuzzy logic to incorporate uncertainty in the assessment and definition of risk matrices [71][72][73].…”
Section: Limitations Implications and Recommendationsmentioning
confidence: 99%