Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems

Akram, Muhammad; Luqman, Anam; Kahraman, Cengiz

doi:10.1016/j.asoc.2021.107479

Cited by 73 publications

(22 citation statements)

References 50 publications

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“…The q ‐ROFTL Muirhead mean and the dual Muirhead mean operators are also presented by them. Many researchers have developed several aggregation operators and decision‐making methods in generalized fuzzy environment (Akram, Adeel, Al‐Kenani, & Alcantud, 2021; Akram et al, 2019; Akram, Ali, Butt, & Alcantud, 2021; Akram, Kahraman, & Zahid, 2021; Akram, Luqman, & Alcantud, 2021; Akram, Luqman, & Kahraman, 2021; Akram, Naz, Edalatpanah, & Mehreen, 2021; Akram, Naz, & Ziaa, 2021; Ali & Mahmood, 2020; Garg et al, 2021; Liu et al, 2021; Ma et al, 2021; Mahmood et al, 2019; Mahmood et al, 2021; Naz et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Models for MAGDM with dual hesitant q‐rung orthopair fuzzy 2‐tuple linguistic MSM operators and their application to COVID‐19 pandemic

et al. 2022

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In this article, we introduce dual hesitant q-rung orthopair fuzzy 2-tuple linguistic set (DHq-ROFTLS), a new strategy for dealing with uncertainty that incorporates a 2-tuple linguistic term into dual hesitant q-rung orthopair fuzzy set (DHq-ROFS).DHq-ROFTLS is a better way to deal with uncertain and imprecise information in the decision-making environment. We elaborate the operational rules, based on which, the DHq-ROFTL weighted averaging (DHq-ROFTLWA) operator and the DHq-ROFTL weighted geometric (DHq-ROFTLWG) operator are presented to fuse the DHq-ROFTL numbers (DHq-ROFTLNs). As Maclaurin symmetric mean (MSM) aggregation operator is a useful tool to model the interrelationship between multi-input arguments, we generalize the traditional MSM to aggregate DHq-ROFTL information.Firstly, the DHq-ROFTL Maclaurin symmetric mean (DHq-ROFTLMSM) and the DHq-ROFTL weighted Maclaurin symmetric mean (DHq-ROFTLWMSM) operators are proposed along with some of their desirable properties and some special cases.Further, the DHq-ROFTL dual Maclaurin symmetric mean (DHq-ROFTLDMSM) and weighted dual Maclaurin symmetric mean (DHq-ROFTLWDMSM) operators with some properties and cases are presented. Moreover, the assessment and prioritizing of the most important aspects in multiple attribute group decision-making (MAGDM) problems is analysed by an extended novel approach based on the proposed aggregation operators under DHq-ROFTL framework. At long last, a numerical model is provided for the selection of adequate medication to control COVID-19 outbreaks to demonstrate the use of the generated technique and exhibit its adequacy. Finally, to analyse the advantages of the proposed method, a comparison analysis is conducted and the superiorities are illustrated.

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Section: Introductionmentioning

confidence: 99%

Models for MAGDM with dual hesitant q‐rung orthopair fuzzy 2‐tuple linguistic MSM operators and their application to COVID‐19 pandemic

et al. 2022

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“…For example, Wan et al [14] proposed a three-phase method, Liang et al [15] proposed TOPSIS method, Mohagheghi et al [16] proposed a last aggregation evaluating approach under PFS setting and applied it to haze management. Akram et al [17] ELECTRE-II method to solve MCDM problems. The analytic hierarchy process (AHP) was proposed by Rahman and Abdullah [18] under PFS environment to compute many MCDM problems.…”

Section: Introductionmentioning

confidence: 99%

A Decision-Making Problem for Selecting an optimal Antivirus Mask over COVID-19 Pandemic under Pythagorean Fuzzy Information Based on Hybrid TODIM - Inferior Ratio Method

Kumar

2022

J. Phys.: Conf. Ser.

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Yager was the first who developed the concept of Pythagorean fuzzy sets (PFSs) to tackle uncertainty and vagueness. PFSs is applicable when Intuitionistic fuzzy sets are not able to tackle the uncertainty in real life. In the present paper, based on the concept of Gini-Simpson Entropy, a Pythagorean fuzzy entropy measure is introduced under Pythagorean fuzzy environment. The maximality feature and monotonic behaviour of the developed information measure have been presented to satisfy some elegant mathematical properties which prepare the ground for applications in various disciplines. We extend the TODIM-Inferior ratio method for solving the (MCDM) multicriteria decision-making problems where the behaviour of experts, are taken into consideration. The proposed Pythagorean information measure has been established based on the different cases when weights are partially known. A real-life numerical example has been successfully illustrated to demonstrate the flexibility and efficacy of the developed method.

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“…Peng et al [10] proposed some new approaches to manage single-regarded neutrosophic MADM reliant on MABAC, TOPSIS, and new closeness measure with score function. In [11][12][13][14][15][16][17][18][19][20][21], many decision-making problems and algebraic structures are discussed over different fuzzy environments.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Problems under the Environment of m-Polar Diophantine Neutrosophic N-Soft Set

Zeng¹,

Ali²,

Mahmood³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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Fuzzy models are present everywhere from natural to artificial structures, embodying the dynamic processes in physical, biological, and social systems. As real-life problems are often uncertain on account of inconsistent and indeterminate information, it seems very demanding for an expert to solve those problems using a fuzzy model. In this regard, we develop a hybrid new model m-polar Diophantine neutrosophic N-soft set which is based on neutrosophic set and soft set. Additionally, we define several different sorts of compliments on the proposed set. A proposed set is a generalized form of fuzzy, soft, Pythagorean fuzzy, Pythagorean fuzzy soft, and Pythagorean fuzzy N-soft sets. In this manner, m-polar Diophantine neutrosophic N-soft set is more proficient, a versatile model to oversee vulnerabilities as it likewise survives the downsides of existing models which are to be summed up. Furthermore, we give the application of the proposed set in multi-attribute decision-making problems by defining a new choice-value function.

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Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems

Cited by 73 publications

References 50 publications

Models for MAGDM with dual hesitant q‐rung orthopair fuzzy 2‐tuple linguistic MSM operators and their application to COVID‐19 pandemic

Models for MAGDM with dual hesitant q‐rung orthopair fuzzy 2‐tuple linguistic MSM operators and their application to COVID‐19 pandemic

A Decision-Making Problem for Selecting an optimal Antivirus Mask over COVID-19 Pandemic under Pythagorean Fuzzy Information Based on Hybrid TODIM - Inferior Ratio Method

Decision-Making Problems under the Environment of m-Polar Diophantine Neutrosophic N-Soft Set

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