Multiple criteria decision analytic methods in management with T-spherical fuzzy information-Reference-Cited by-同舟云学术

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Multiple criteria decision analytic methods in management with T-spherical fuzzy information

Published:2023-04-29 Issue:12 Volume:56 Page:14087-14157
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Chen Ting-Yu^ORCID

Funder

National Science and Technology Council, Taiwan

Chang Gung Memorial Hospital, Linkou

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-023-10461-z.pdf

Reference70 articles.

1. Abid MN, Yang MS, Karamti H, Ullah K, Pamucar D (2022) Similarity measures based on T-spherical fuzzy information with applications to pattern recognition and decision making. Symmetry. https://doi.org/10.3390/sym14020410

2. Aggarwal L, Goswami P, Sachdeva S (2021) Multi-criterion intelligent decision support system for COVID-19. Appl Soft Comput. https://doi.org/10.1016/j.asoc.2020.107056

3. Akram M, Ullah K, Pamucar D (2022) Performance evaluation of solar energy cells using the interval-valued T-spherical fuzzy Bonferroni mean operators. Energies. https://doi.org/10.3390/en15010292

4. Akram M, Naz S, Santos-Garcıa G, Saeed MR (2023) Extended CODAS method for MAGDM with 2-tuple linguistic T-spherical fuzzy sets. AIMS Math 8(2):3428–3468. https://doi.org/10.3934/math.2023176

5. Ali W, Ali M, Hussain I, Ullah SS, Alroobaea R, Hussain S, Binmahfoudh A, Umar F (2022) A new correlation coefficient for T-spherical fuzzy sets and its application in multicriteria decision-making and pattern recognition. J Sens. https://doi.org/10.1155/2022/4471945

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