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 …

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 …

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 …

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 …

Numerous fuzzy structures have been created and studied up to this point in order to
investigate objects under ambiguity. Among them, the structure of complex spherical fuzzy …

In this paper, an innovative fuzzy group decision-making model is designed for assessing
regional transportation sustainability, focusing on the correlation between various attributes …

This study aims to propose the power Muirhead mean (PMM) operator in the spherical
normal fuzzy sets (SNoFS) environment to solve multiple attribute decision-making …

Spherical fuzzy sets theory is useful and advantageous for handling uncertainty and
imprecision in multiple attribute decision-making problems by considering membership, non …

Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main
characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of …