Case study for hospital-based Post-Acute Care-Cerebrovascular Disease using Sine Hyperbolic q-rung orthopair fuzzy Dombi aggregation operators

Qiyas, Muhammad; Abdullah, Saleem; Khan, Neelam; Naeem, Muhammad; Khan, Faisal; Liu, Yi

doi:10.1016/j.eswa.2022.119224

Cited by 11 publications

(3 citation statements)

References 50 publications

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“…5. If this comparison, the proposed operator is tested with paper of Qiyas et al (2023). In here, if we solve example defined over hospital selection using the proposed operator, Table 9 indicates the results obtained with our method.…”

Section: Comparative and Discussionmentioning

confidence: 99%

“…When the score values are surveyed, ranking of alternative is same with q-rung orthopair fuzzy dombi weighted averaging operator (q-ROFDOWA) and q-rung orthopair fuzzy dombi weighted geometric operator (q-ROFDOWG) as understood from Table 9. Moreover, the proposed method has more advantages than method presented by Qiyas et al (2023) because of the decision-making matrix (DMM) is obtained with decision-makers' joint decision, but in our method, ideas of experts are reflected into DMM, separately. Thus, error margin is eliminated (Fig.…”

Section: Comparative and Discussionmentioning

confidence: 99%

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New q-rung orthopair fuzzy Aczel–Alsina weighted geometric operators under group-based generalized parameters in multi-criteria decision-making problems

Özlü

2024

Comp. Appl. Math.

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The concept of q-rung orthopair fuzzy set (q-ROF) defined as generalization of intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PyFS) has more flexible structure according to several clusters. Therefore, it is a benefit tool to obtain various results for different values of q. The basic benefit of generalized concepts is to rate level of truth and falsity and reduce to error margin. Thus, while the final decision is decided by experts, the most accuracy finding is to present. Aczel–Alsina t-norm (AA-TN) and t-conorm (AA-TCN) structures were defined by Aczel and Alsina in 1982. The both concepts include parameters changing according to prefer, decision, and request of experts. In this paper, q-rung orthopair fuzzy Aczel–Alsina weighted geometric operator (q-ROFAAWG) is produced and also ordered and hybrid concepts (q-ROFAAOWG, q-ROFAAHWG) are obtained using Aczel–Alsina operators (AAOs). Hence, this operator is expanded to generalized q-rung orthopair fuzzy Aczel–Alsina weighted geometric operator (Gq-ROFAAWG), ordered and hybrid concepts (Gq-ROFAAOWG, Gq-ROFAAHWG) using single parameter. Finally, group-based generalized q-rung orthopair fuzzy Aczel–Alsina weighted geometric operator (GGq-ROFAAWG), ordered and hybrid concepts (GGq-ROFAAOWG, GGq-ROFAAHWG) are proposed and their properties are worked. Moreover, an algorithm-based multi-criteria decision-making is given and applied over a numerical example to illustrate the effective of the proposed method. The results are evaluated for different values of parameters. In addition to, comparative analysis is developed to show the superiority of proposed approach than existing methods.

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Section: Comparative and Discussionmentioning

confidence: 99%

Section: Comparative and Discussionmentioning

confidence: 99%

New q-rung orthopair fuzzy Aczel–Alsina weighted geometric operators under group-based generalized parameters in multi-criteria decision-making problems

Özlü

2024

Comp. Appl. Math.

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“…When MCDM supports GDM, some mathematical aggregation operators must be applied to obtain an aggregated decision-making matrix [23]. Some of the widely applied mathematical aggregation operators are arithmetic mean [24], geometric mean [25], Dombi operator [26], Bonferrioni operator [27], Dombi-Bonferrioni operator, Einstein operator [28], Hamacher operator [29], power aggregation operator [30], neutral aggregation operator [31], Heronian aggregation operator [32], combined aggregation operator [33], optimal aggregation operator [34], etc.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Aggregation Operators in the Group Decision-Making Process: A Real Case Study of Location Selection Problem

et al. 2023

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Aggregation methods in group decision-making refer to techniques used to combine the individual preferences, opinions, or judgments of group members into a collective decision. Each aggregation method has its advantages and disadvantages, and the best method to use depends on the specific situation and the goals of the decision-making process. In certain cases, final rankings of alternatives in the decision-making process may depend on the way of combining different attitudes. The focus of this paper is the application and comparative analysis of the aggregation operators, specifically, arithmetic mean (AM), geometric mean (GM), and Dombi Bonferroni mean (DBM), to the process of criteria weights determination in a fuzzy environment. The criteria weights are determined using Fuzzy Multi-Criteria Decision-Making (F-MCDM) methods, such as Fuzzy Analytic Hierarchy Process (F-AHP), Fuzzy Pivot Pairwise Relative Criteria Importance Assessment (F-PIPRECIA), and Fuzzy Full Consistency Method (F-FUCOM), while the final alternative ranking is obtained by Fuzzy Weighted Aggregated Sum Product Assessment (F-WASPAS). A comparison of aggregation operators is done for the real case of location selection problem for a used motor oil transfer station in the regional center of Southern and Eastern Serbia, the city of Niš. The results obtained in this study showed that the views of different experts and application of a certain aggregation approach may have a significant impact on the values of criteria weight coefficients and further on the final ranking of alternatives. This paper is expected to stimulate future research into the impact of aggregation methods on final rankings in the decision-making process, especially in the field of waste management.

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Some Operators Based on qth Rung Root Orthopair Fuzzy Sets and Their Application in Multi-criteria Decision Making

Liu,

Yang,

et al. 2024

Int. J. Fuzzy Syst.

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Case study for hospital-based Post-Acute Care-Cerebrovascular Disease using Sine Hyperbolic q-rung orthopair fuzzy Dombi aggregation operators

Cited by 11 publications

References 50 publications

New q-rung orthopair fuzzy Aczel–Alsina weighted geometric operators under group-based generalized parameters in multi-criteria decision-making problems

New q-rung orthopair fuzzy Aczel–Alsina weighted geometric operators under group-based generalized parameters in multi-criteria decision-making problems

Comparison of Aggregation Operators in the Group Decision-Making Process: A Real Case Study of Location Selection Problem

Some Operators Based on qth Rung Root Orthopair Fuzzy Sets and Their Application in Multi-criteria Decision Making

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