[HTML][HTML] PSO, a swarm intelligence-based evolutionary algorithm as a decision-making strategy: A review
DD Ramírez-Ochoa, LA Pérez-Domínguez… - Symmetry, 2022 - mdpi.com
Companies are constantly changing in their organization and the way they treat information.
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …
Multi-attribute decision-making using Archimedean aggregation operator in T-spherical fuzzy environment
As an extension of several fuzzy structures such as fuzzy sets, intuitionistic fuzzy sets, picture
fuzzy sets, q-rung ortho-pair fuzzy sets, and T-spherical fuzzy (TSF) sets (TSFSs), are an …
fuzzy sets, q-rung ortho-pair fuzzy sets, and T-spherical fuzzy (TSF) sets (TSFSs), are an …
Aczel-Alsina aggregation operators on T-spherical fuzzy (TSF) information with application to TSF multi-attribute decision making
Aczel-Alsina t-norm (TN) and t-conorm (TCN) were proposed by Aczel and Alsina in 1982
are more flexible than the other TN and TCN. Since Aczel-Alsina TN and TCN have a great …
are more flexible than the other TN and TCN. Since Aczel-Alsina TN and TCN have a great …
Digital transformation solutions of entrepreneurial SMEs based on an information error-driven T-spherical fuzzy cloud algorithm
Z Yang, J Chang, L Huang, A Mardani - International Journal of Information …, 2023 - Elsevier
The digital transformation of enterprises has become an inevitable development trend and
one of the key driving forces that promotes the sustainable development of enterprises …
one of the key driving forces that promotes the sustainable development of enterprises …
[HTML][HTML] T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making
The paper aims to present the concept of power aggregation operators for the T-spherical
fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting …
fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting …
[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
Power partitioned neutral aggregation operators for T-spherical fuzzy sets: An application to H2 refuelling site selection
T-spherical fuzzy set (T-SFS) is emerged as one of the effective tools for dealing uncertainty
in decision-making process. Whereas, power aggregation operators help us in normalizing …
in decision-making process. Whereas, power aggregation operators help us in normalizing …
[HTML][HTML] Performance evaluation of solar energy cells using the interval-valued T-spherical fuzzy Bonferroni mean operators
To find the correspondence between every number of attributes, the Bonferroni mean (BM)
operator is most widely used and proven to be a flexible approach. To express uncertain …
operator is most widely used and proven to be a flexible approach. To express uncertain …
A state-of-the-art survey on spherical fuzzy sets
In addition to the well-known fuzzy sets, a novel type of fuzzy set called spherical fuzzy set
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …
T-spherical fuzzy Frank aggregation operators and their application to decision making with unknown weight information
The current study presents a novel multi-criteria decision making (MCDM) approach to
address decision analysis with T-spherical fuzzy data, whose weights of criteria are fully …
address decision analysis with T-spherical fuzzy data, whose weights of criteria are fully …