Aczel-Alsina Aggregation Operators Based on Complex Single-valued Neutrosophic Information and Their Application in Decision-Making Problems

Naseem, Areeba; Akram, Maria; Ullah, Kifayat; Ali, Zeeshan

doi:10.31181/dma11202312

Cited by 34 publications

(4 citation statements)

References 28 publications

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“…To validate these results, a verification process will be applied, employing identical initial fuzzy decision matrix for alternatives and the identical criteria weights (Ali et al, 2023;Naseem et al, 2023;Więckowski et al, 2023). This approach aims to assess how specific steps in alternative methods impact the final ranking of tractors.…”

Section: Resultsmentioning

confidence: 99%

Application of Fuzzy-Rough Approach in Tractor Selection

Puška,

Štilić,

Nedeljković

et al. 2024

JCCE

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The process of selecting a tractor exemplifies decision-making in a multi-criteria context. With the integration of the fuzzy-rough concept, this article employs a hybrid multi-criteria decision-making methodology. The fuzzy-rough approach is employed to facilitate decision-making with imprecise information, incorporating uncertainty while mitigating the subjectivity inherent in expert judgments. The Logarithm Methodology of Additive Weights (LMAW) method is utilized to evaluate the importance of criteria influencing the evaluation of selected tractors. Subsequently, the Simple Additive Weighting (SAW) method is employed to identify the optimal tractor aligning with the specified criteria. Among the five observed tractors, the Solis S 26 exhibited the most favorable results. Sensitivity analysis and result validation support the validity of the results obtained. Result validation involves a comparison of fuzzy-rough SAW outcomes with alternative methods utilizing the fuzzy-rough approach, while the influence of criteria importance on the decision's final outcome was examined through sensitivity analysis. This paper contributes to comprehending the fuzzy-rough concept's applicability in multi-criteria decision-making. Demonstrated flexibility of the fuzzy-rough methodology suggests its potential for future research reliant on imprecise data, uncertainty incorporation, and subjectivity reduction in decision-making processes.

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Section: Resultsmentioning

confidence: 99%

Application of Fuzzy-Rough Approach in Tractor Selection

Puška,

Štilić,

Nedeljković

et al. 2024

JCCE

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“…Therefore, many real life problems are modelled and optimized in a fuzzy based uncertain environment. As the classical fuzzy sets and numbers may have some shortcomings and may not be able to reflect some high degrees of uncertainty, this theory has been developed and modified in the literature (Ali et al, 2023;Naseem et al, 2023;Mahmoodirad and Niroomand, 2023). For this aim, some newer types of fuzzy sets, such as type-2 fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, etc., have been introduced in the literature (Wang et al, 2023;Mishra et al, 2023).…”

Section: Basic Conceptsmentioning

confidence: 99%

Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector

Torkzadeh,

Pamucar,

Niroomand

2023

Informatica

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In this study, effect of the environmental factors on the organizational behaviour in higher education sector is analysed and these factors are prioritized. For this aim, first, the environmental criteria affecting the organizational behaviour of higher education sector are selected from the literature. Then, as a solution methodology, (i) some experts are asked to determine pairwise comparison of the criteria, (ii) the linguistic terms are converted to interval-valued Pythagorean fuzzy values, and (iii) an interval-valued Pythagorean fuzzy DEMATEL approach is developed and applied. According to the results, most of the economic, political, and professional domain criteria are of the cause category.

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“… Yang et al (2017) , Kamaci, Petchimuthu & Akcetin (2021) , Peng & Wang (2014) , Gumus & Bali (2017) and Jana, Pal & Liu (2022) gave some dynamic AOs for the different extension of FS. Some extensive work related to AOs can be seen in Dabic-Miletic & Simic (2023) , Naseem et al (2023) , Abid & Saqlain (2023) . Jana & Pal (2021) proposed dynamical hybrid method to design decision making process.…”

Section: Introductionmentioning

confidence: 99%

q-Rung orthopair fuzzy dynamic aggregation operators with time sequence preference for dynamic decision-making

Farid,

Riaz,

Simic

et al. 2024

PeerJ Computer Science

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The q-rung orthopair fuzzy set (q-ROPFS) is a kind of fuzzy framework that is capable of introducing significantly more fuzzy information than other fuzzy frameworks. The concept of combining information and aggregating it plays a significant part in the multi-criteria decision-making method. However, this new branch has recently attracted scholars from several domains. The goal of this study is to introduce some dynamic q-rung orthopair fuzzy aggregation operators (AOs) for solving multi-period decision-making issues in which all decision information is given by decision makers in the form of “q-rung orthopair fuzzy numbers” (q-ROPFNs) spanning diverse time periods. Einstein AOs are used to provide seamless information fusion, taking this advantage we proposed two new AOs namely, “dynamic q-rung orthopair fuzzy Einstein weighted averaging (DQROPFEWA) operator and dynamic q-rung orthopair fuzzy Einstein weighted geometric (DQROPFEWG) operator”. Several attractive features of these AOs are addressed in depth. Additionally, we develop a method for addressing multi-period decision-making problems by using ideal solutions. To demonstrate the suggested approach’s use, a numerical example is provided for calculating the impact of “coronavirus disease” 2019 (COVID-19) on everyday living. Finally, a comparison of the proposed and existing studies is performed to establish the efficacy of the proposed method. The given AOs and decision-making technique have broad use in real-world multi-stage decision analysis and dynamic decision analysis.

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Aczel-Alsina Aggregation Operators Based on Complex Single-valued Neutrosophic Information and Their Application in Decision-Making Problems

Cited by 34 publications

References 28 publications

Application of Fuzzy-Rough Approach in Tractor Selection

Application of Fuzzy-Rough Approach in Tractor Selection

Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector

q-Rung orthopair fuzzy dynamic aggregation operators with time sequence preference for dynamic decision-making

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