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 …

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 …

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 …

The notion of spherical fuzzy (SF) set is a potent approach to managing uncertainty and
expressing expert judgments in real-life scenarios. The primary objective of this study is to …

Global warming is a prevalent issue across the world. In supply chains, warehouses
contribute significantly to the increase in greenhouse gas emissions. Achieving carbon …

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 …

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 …

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 …

To deal with complicated decision problems with T-Spherical fuzzy values in the
aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by …

In a natural disaster such as an earthquake, due to the extensive number of injured, demand
for blood units sharply increases in health care centers. Thus, designing an efficient supply …