Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information
Апстракт
In the process of decision-making, uncertain information is always challenging to deal with. T-spherical fuzzy set (TSFS) operates vagueness of data by analysing three independent functions, namely membership, non-membership, and abstinence function. The TSFS provides us robust scheme with parameter q >= 1 to handle the countless opportunities. Hence, this set proves its superiority over the existing picture fuzzy set (PFS) and spherical fuzzy set (SFS). Now a day, decision-makers usually assign impartial values throughout the assessment. This manuscript demonstrates some new operational laws by fusing the neutral characteristics of the degrees of membership and using the probability sum (PS) function. Meanwhile, we determine several aggregation operators (AOs) including weighted averaging neutral, ordered weighed neutral, and hybrid averaging neutral AOs to aggregate the data under T-spherical fuzzy (TSF) environment. As it came to the notice that weighted neutral averaging aggregatio...n operators of the Pythagorean fuzzy set (PyFS), single-valued neutrosophic fuzzy set (SVNFS), and q-rung orthopair fuzzy set (q-ROFS) have some restrictions during the decision-making problems. So, to overcome this, we introduce a new multi-attribute group decision-making method (MAGDM) based on proposed AOs. Lastly, we provide various numerical instances to explain the method and exhibit its supremacy. Furthermore, a comparative analysis is conducted to compare the potential of proposed AOs with some other existing methods.
Кључне речи:
T-spherical fuzzy set / Neutrality operations / Multi-attribute group decision-making / Aggregation operatorsИзвор:
Computational & Applied Mathematics, 2022, 41, 7Издавач:
- Springer Heidelberg, Heidelberg
Финансирање / пројекти:
- Deanship of Scientific Research at King Khalid University [RGP.2/44/43]
- office of Research, Innovation and Commercialization (ORIC) of Riphah International University Lahore [Riphah-ORIC-21-22/FEAS-20]
DOI: 10.1007/s40314-022-01985-1
ISSN: 2238-3603
WoS: 000853939000001
Scopus: 2-s2.0-85138075396
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Javed, Mubashar AU - Javeed, Shomaila AU - Ullah, Kifayat AU - Garg, Harish AU - Pamučar, Dragan AU - Elmasry, Yasser PY - 2022 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2339 AB - In the process of decision-making, uncertain information is always challenging to deal with. T-spherical fuzzy set (TSFS) operates vagueness of data by analysing three independent functions, namely membership, non-membership, and abstinence function. The TSFS provides us robust scheme with parameter q >= 1 to handle the countless opportunities. Hence, this set proves its superiority over the existing picture fuzzy set (PFS) and spherical fuzzy set (SFS). Now a day, decision-makers usually assign impartial values throughout the assessment. This manuscript demonstrates some new operational laws by fusing the neutral characteristics of the degrees of membership and using the probability sum (PS) function. Meanwhile, we determine several aggregation operators (AOs) including weighted averaging neutral, ordered weighed neutral, and hybrid averaging neutral AOs to aggregate the data under T-spherical fuzzy (TSF) environment. As it came to the notice that weighted neutral averaging aggregation operators of the Pythagorean fuzzy set (PyFS), single-valued neutrosophic fuzzy set (SVNFS), and q-rung orthopair fuzzy set (q-ROFS) have some restrictions during the decision-making problems. So, to overcome this, we introduce a new multi-attribute group decision-making method (MAGDM) based on proposed AOs. Lastly, we provide various numerical instances to explain the method and exhibit its supremacy. Furthermore, a comparative analysis is conducted to compare the potential of proposed AOs with some other existing methods. PB - Springer Heidelberg, Heidelberg T2 - Computational & Applied Mathematics T1 - Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information IS - 7 VL - 41 DO - 10.1007/s40314-022-01985-1 UR - conv_2764 ER -
@article{ author = "Javed, Mubashar and Javeed, Shomaila and Ullah, Kifayat and Garg, Harish and Pamučar, Dragan and Elmasry, Yasser", year = "2022", abstract = "In the process of decision-making, uncertain information is always challenging to deal with. T-spherical fuzzy set (TSFS) operates vagueness of data by analysing three independent functions, namely membership, non-membership, and abstinence function. The TSFS provides us robust scheme with parameter q >= 1 to handle the countless opportunities. Hence, this set proves its superiority over the existing picture fuzzy set (PFS) and spherical fuzzy set (SFS). Now a day, decision-makers usually assign impartial values throughout the assessment. This manuscript demonstrates some new operational laws by fusing the neutral characteristics of the degrees of membership and using the probability sum (PS) function. Meanwhile, we determine several aggregation operators (AOs) including weighted averaging neutral, ordered weighed neutral, and hybrid averaging neutral AOs to aggregate the data under T-spherical fuzzy (TSF) environment. As it came to the notice that weighted neutral averaging aggregation operators of the Pythagorean fuzzy set (PyFS), single-valued neutrosophic fuzzy set (SVNFS), and q-rung orthopair fuzzy set (q-ROFS) have some restrictions during the decision-making problems. So, to overcome this, we introduce a new multi-attribute group decision-making method (MAGDM) based on proposed AOs. Lastly, we provide various numerical instances to explain the method and exhibit its supremacy. Furthermore, a comparative analysis is conducted to compare the potential of proposed AOs with some other existing methods.", publisher = "Springer Heidelberg, Heidelberg", journal = "Computational & Applied Mathematics", title = "Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information", number = "7", volume = "41", doi = "10.1007/s40314-022-01985-1", url = "conv_2764" }
Javed, M., Javeed, S., Ullah, K., Garg, H., Pamučar, D.,& Elmasry, Y.. (2022). Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information. in Computational & Applied Mathematics Springer Heidelberg, Heidelberg., 41(7). https://doi.org/10.1007/s40314-022-01985-1 conv_2764
Javed M, Javeed S, Ullah K, Garg H, Pamučar D, Elmasry Y. Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information. in Computational & Applied Mathematics. 2022;41(7). doi:10.1007/s40314-022-01985-1 conv_2764 .
Javed, Mubashar, Javeed, Shomaila, Ullah, Kifayat, Garg, Harish, Pamučar, Dragan, Elmasry, Yasser, "Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information" in Computational & Applied Mathematics, 41, no. 7 (2022), https://doi.org/10.1007/s40314-022-01985-1 ., conv_2764 .