[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 …
Sugeno–Weber triangular norm-based aggregation operators under T-spherical fuzzy hypersoft context
This research work contributes significantly to the current information field by offering an
innovative model named the T-spherical fuzzy hypersoft (T-SFHS) set (T-SFHSS). This …
innovative model named the T-spherical fuzzy hypersoft (T-SFHS) set (T-SFHSS). This …
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 …
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 …
Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators
This research article aims at establishing the foundations of generalized hybrid frameworks
for dealing with uncertainties in knowledge-based systems. First, by combining the notions …
for dealing with uncertainties in knowledge-based systems. First, by combining the notions …
Multi-attribute group decision-making model for selecting the most suitable construction company using the linguistic interval-valued T-spherical fuzzy TOPSIS method
SH Gurmani, H Chen, Y Bai - Applied Intelligence, 2023 - Springer
Abstract Evaluation and selection problems are becoming increasingly difficult due to
human judgment and unknown evaluation risks. These circumstances mean that contractor …
human judgment and unknown evaluation risks. These circumstances mean that contractor …
An evolved VIKOR method for multiple-criteria compromise ranking modeling under T-spherical fuzzy uncertainty
TY Chen - Advanced Engineering Informatics, 2022 - Elsevier
The development of T-spherical fuzzy (T-SF) sets in qualitative multiple-criteria choice
analysis has been well investigated, but little is explored about how the VIKOR (ie …
analysis has been well investigated, but little is explored about how the VIKOR (ie …
Generalized MULTIMOORA method and Dombi prioritized weighted aggregation operators based on T‐spherical fuzzy sets and their applications
In this manuscript, the technique of the generalized MULTIMOORA method is investigated
by using the concept of a T‐spherical fuzzy set (T‐SFS), which is the modified idea of a …
by using the concept of a T‐spherical fuzzy set (T‐SFS), which is the modified idea of a …
Combining subjective and objective weights considerations to solve the emergency location selection problems under spherical fuzzy environments
KH Chang - Applied Soft Computing, 2024 - Elsevier
The development of an emergency will cause difficulties in the selection of emergency
locations. The COVID-19 pandemic has caused the establishment of emergency medical …
locations. The COVID-19 pandemic has caused the establishment of emergency medical …
[Retracted] Assessment of the Business Proposals Using Frank Aggregation Operators Based on Interval‐Valued T‐Spherical Fuzzy Information
A Hussain, K Ullah, H Wang… - Journal of Function …, 2022 - Wiley Online Library
An interval‐valued T‐spherical fuzzy set (IVTSFS) is an efficient framework to treat
ambiguous and vague information more efficiently. It has four functions consisting of the …
ambiguous and vague information more efficiently. It has four functions consisting of the …