A novel score function based CRITIC-MARCOS method with spherical fuzzy information
J Ali - Computational and Applied Mathematics, 2021 - Springer
The spherical fuzzy set (SFS), as a generalization of Picture fuzzy set, can express and
process uncertainty much better. In this article, we first reveal the comparison issues in …
process uncertainty much better. In this article, we first reveal the comparison issues in …
A spherical fuzzy methodology integrating maximizing deviation and TOPSIS methods
Due to the uncertainty and vagueness, ambiguity and subjectivity of the information in an
intricate decision-making environment, the assessment data specified by experts are mostly …
intricate decision-making environment, the assessment data specified by experts are mostly …
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 …
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 …
Novel spherical fuzzy distance and similarity measures and their applications to medical diagnosis
Spherical fuzzy sets (SFSs) have recently become more popular in various fields. It was
proposed as a generalization of picture fuzzy sets and Pythagorean fuzzy sets in order to …
proposed as a generalization of picture fuzzy sets and Pythagorean fuzzy sets in order to …
Novel similarity measures in spherical fuzzy environment and their applications
Spherical fuzzy sets (SFSs) have gained great attention from researchers in various fields.
The spherical fuzzy set is characterized by three membership functions expressing the …
The spherical fuzzy set is characterized by three membership functions expressing the …
A novel decision support system for the appraisal and selection of green warehouses
Global warming is a prevalent issue across the world. In supply chains, warehouses
contribute significantly to the increase in greenhouse gas emissions. Achieving carbon …
contribute significantly to the increase in greenhouse gas emissions. Achieving carbon …
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 …
A multi-criteria framework for addressing digitalization solutions of medical system under interval-valued T-spherical fuzzy information
With the help of Internet technology, digital reform of the medical system has gradually
sprung up and begun to reconstruct the medical and health industry chain and service …
sprung up and begun to reconstruct the medical and health industry chain and service …
Sustainability assessment of regional transportation: an innovative fuzzy group decision-making model
Z Li, A Liu, WL Shang, J Li, H Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, an innovative fuzzy group decision-making model is designed for assessing
regional transportation sustainability, focusing on the correlation between various attributes …
regional transportation sustainability, focusing on the correlation between various attributes …