Dombi operations for linguistic T-spherical fuzzy number: an approach for selection of the best variety of maize

Gurmani, Shahid Hussain; Chen, Huayou; Bai, Yuhang

doi:10.1007/s00500-022-07307-1

Cited by 17 publications

(5 citation statements)

References 59 publications

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“…Given the above limitations, this study presents several directions. This study can use other fuzzy decision-making methods, such as complex T-SFSs 65 , Lt-SFS 26 and q-rung orthopair hypersoft fuzzy sets 66 , to give experts more freedom when providing their evaluation information. In this paper, the designed approach is applied to the selection of EMS suppliers during disasters.…”

Section: Discussionmentioning

confidence: 99%

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An interaction and feedback mechanism-based group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information

Gurmani

Zhang

Zulqarnain

et al. 2023

Sci Rep

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Selecting a supplier for emergency medical supplies during disasters can be considered a typical multiple attribute group decision-making (MAGDM) problem. MAGDM is an intriguing common problem that is rife with ambiguity and uncertainty. It becomes much more challenging when governments and medical care enterprises adjust their priorities in response to the escalating problems and the effectiveness of the actions taken in different countries. As decision-making problems become increasingly complicated nowadays, a growing number of experts are likely to use T-spherical fuzzy sets (T-SFSs) rather than exact numbers. T-SFS is a novel extension of fuzzy sets that can fully convey ambiguous and complicated information in MAGDM. The objective of this paper is to propose a MAGDM methodology based on interaction and feedback mechanism (IFM) and T-SFS theory. In it, we first introduce T-SF partitioned Bonferroni mean (T-SFPBM) and T-SF weighted partitioned Bonferroni mean (T-SFWPBM) operators to fuse the evaluation information provided by experts. Then, an IFM is designed to achieve a consensus between multiple experts. In the meantime, we also find the weights of experts by using T-SF information. Furthermore, in light of the combination of IFM and T-SFWPBM operator, an MAGDM algorithm is designed. Finally, an example of supplier selection for emergency medical supplies is provided to demonstrate the viability of the suggested approach. The influence of parameters on decision results and comparative analysis with the existing methods confirmed the reliability and accuracy of the suggested approach.

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Section: Discussionmentioning

confidence: 99%

“…In terms of the ways that people naturally make decisions, MAGDM techniques are more intuitive. Modeling human behavior with MAGDM is rapidly evolving in various fields 26 – 30 .…”

Section: Introductionmentioning

confidence: 99%

An interaction and feedback mechanism-based group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information

Gurmani

Zhang

Zulqarnain

et al. 2023

Sci Rep

Self Cite

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“…Ashraf et al [27] established operational laws based on DTN and DTCN and introduced a set of SF Dombi AOs, examining their properties. Gurmani et al [28] introduced linguistic T-SFSs, defined Dombi operations for linguistic T-spherical fuzzy numbers and developed AOs based on Dombi operations. For further details about Dombi operators, please refer to studies [29][30][31][32][33][34].…”

Section: A Dombi Aggregation Operatorsmentioning

confidence: 99%

Dombi Aggregation Operators for p, qr–Spherica Fuzzy Sets: Application in the Stability Assessment of Cryptocurrencies

Akhtar,

Rahim,

Alanzi

et al. 2024

IEEE Access

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This paper presents novel operational laws for 𝑝, 𝑞, 𝑟 −spherical fuzzy sets (𝑝, 𝑞, 𝑟 −SFSs) by harnessing the Dombi t-norm (DTN) and t-conorm (DTCN). These laws serve as the foundation for a set of aggregation operators (AOs) designed to consolidate 𝑝, 𝑞, 𝑟 −spherical fuzzy (𝑝, 𝑞, 𝑟 −SF) information. Additionally, a multi-criteria decision-making (MCDM) method is outlined for addressing practical decision-making (DM) challenges. To demonstrate the application of the proposed approach, a numerical example is offered. Furthermore, we conducted a comparative study to validate the efficacy of the suggested approach. Finally, we discuss both the advantages and limitations of this innovative approach.

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“…In terms of the ways that people naturally make decisions, MAGDM techniques are more intuitive. Modeling human behavior with MAGDM is rapidly evolving in various fields [37][38][39][40][41] .…”

Section: Fuzzy Multiple-attribute Group Decision-makingmentioning

confidence: 99%

Enhancing group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information: An interaction and feedback mechanism-based approach

Gurmani

Zhang

Malik³

et al. 2023

Preprint

Self Cite

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Selecting a supplier for emergency medical supplies during disasters can be considered as a typical multiple attribute group decision-making (MAGDM) problem. MAGDM is an intriguing common problem that is rife with ambiguity and uncertainty. It becomes much more challenging when governments and medical care enterprises adjust their priorities in response to the escalating problems and the effectiveness of the actions taken in different countries. As decision-making problems become increasingly complicated nowadays, a growing number of decision-makers are likely to use T-spherical fuzzy sets (T-SFSs) rather than exact numbers. T-SFS is a novel extension of fuzzy sets that can fully convey ambiguous and complicated information in MAGDM. This paper proposes a MAGDM methodology based on interaction and feedback mechanism (IFM) and T-SFS theory. In it, we first introduce T-SF partitioned Bonferroni mean and T-SF weighted partitioned Bonferroni mean operators to fuse the evaluation information provided by experts. Then, an IFM is designed to achieve a consensus between multiple experts. In the meantime, we also find the weights of experts by using T-SF information. Furthermore, in light of the combination of IFM and T-SFWPBM operator, an MAGDM algorithm is designed. Finally, to demonstrate the viability of the suggested approach, an example of supplier selection for emergency medical supplies is provided. The influence of parameters on decision results and further comparative analysis confirmed the reliability and accuracy of the suggested approach.

show abstract

Dombi operations for linguistic T-spherical fuzzy number: an approach for selection of the best variety of maize

Cited by 17 publications

References 59 publications

An interaction and feedback mechanism-based group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information

An interaction and feedback mechanism-based group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information

Dombi Aggregation Operators for p, qr–Spherica Fuzzy Sets: Application in the Stability Assessment of Cryptocurrencies

Enhancing group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information: An interaction and feedback mechanism-based approach

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