Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations …
When COVID-19 spread in China in December 2019, thousands of studies have focused on
this pandemic. Each presents a unique perspective that reflects the pandemic's main …
this pandemic. Each presents a unique perspective that reflects the pandemic's main …
An extended MARCOS method for MCGDM under 2-tuple linguistic q-rung picture fuzzy environment
M Akram, A Khan, A Luqman, T Senapati… - … Applications of Artificial …, 2023 - Elsevier
The current study is mainly devoted to explore and extend the measurement and ranking of
alternatives according to the compromise solution under the background of 2-tuple linguistic …
alternatives according to the compromise solution under the background of 2-tuple linguistic …
Enhancing efficiency and cost-effectiveness: A groundbreaking bi-algorithm MCDM approach
Numerous scholars have thoroughly studied the topic of choosing machines considering the
progress and technological growth seen in machinery options. This scholarly investigation …
progress and technological growth seen in machinery options. This scholarly investigation …
Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS
In the study of group decision-making, the most important issue is how to coordinate
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
Modified EDAS method for MCDM in robotic agrifarming with picture fuzzy soft Dombi aggregation operators
In recent decades, robotics and automation technologies play an emerging role in the area
of agriculture development. In the present communication, the concept of digital farming in …
of agriculture development. In the present communication, the concept of digital farming in …
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy …
Autism spectrum disorders (ASD) are a diverse group of conditions characterized by
difficulty with social interaction and communication. ASD is expected to be a high‐risk …
difficulty with social interaction and communication. ASD is expected to be a high‐risk …
[HTML][HTML] Analysis and application of rectified complex t-spherical fuzzy Dombi-Choquet integral operators for diabetic retinopathy detection through fundus images
This paper proposes a rectified complex spherical fuzzy set (rCTSFS) model that enables
the phase term of a complex number to function truthfully to its inherent meaning of …
the phase term of a complex number to function truthfully to its inherent meaning of …
T-spherical fuzzy Bonferroni mean operators and their application in multiple attribute decision making
W Yang, Y Pang - Mathematics, 2022 - mdpi.com
To deal with complicated decision problems with T-Spherical fuzzy values in the
aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by …
aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by …
[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 …
[Retracted] Modified EDAS Method for MAGDM Based on MSM Operators with 2‐Tuple Linguistic T‐Spherical Fuzzy Sets
The coronavirus (COVID‐19) pandemic, which began in China and is fast spreading around
the world, has increased the number of cases and deaths. Governments have suffered …
the world, has increased the number of cases and deaths. Governments have suffered …