As a new improvement of fuzzy sets (FSs), spherical fuzzy sets (SFSs) can provide a wider
space for decision-makers (DMs) to express their preference information. Spherical fuzzy …

Climate change affects the world. Due to excessive GHG emissions, urban transportation
contributes to this threat. Policymakers and authorities want to reduce transportation-related …

This article introduces the structure of the (t, s)-regulated interval-valued neutrosophic soft
set (abbr.(t, s)-INSS). The structure of (t, s)-INSS is shown to be capable of handling the …

The significance of emergency decision-making (EmDM) has been experienced recently
due to the continuous occurrence of various emergency situations that have caused …

In this article, we introduce the 2-tuple linguistic bipolar fuzzy set (2TLBFS), a new strategy
for dealing with uncertainty that incorporates a 2-tuple linguistic term into bipolar fuzzy set …

Intercity railway is an important system for the development of urban agglomeration, and the
site selection of the Line Management Department of Intercity Railway (LMDIR) is a …

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

The term" classification" refers to a supervised learning technique in which samples are
given class labels based on predetermined classes. Fuzzy classifiers are renowned for their …

The main aim of this article is to present a novel hybridized idea of fuzzy Credibility Dombi
Bonferroni mean aggregation operators to describe the fuzzy Credibility information. Next …

This paper presents a new approach for consensus-based group decision making using
bipolar fuzzy sets (BFSs). BFSs are effective tools for handling bipolarity and fuzziness, and …