To handle problematic and ambiguous data, Schweizer and Sklar added a parameter p in
1960, which helped to develop the theory of SS t-norm (SSTN) and t-conorm (SSTCN). The …

T-spherical fuzzy sets (TSFSs) are more flexible and efficient tools to deal with ambiguous,
uncertain and vague information in complex real-world decision-making problems than …

This study introduces Interval-valued T-Spherical Fuzzy Dombi Hamy Mean (IVT-SPFDHM)
Operators as a powerful tool for group decision-making. The IVT-SPFDHM operators allow …

Aggregation operators (AOs) are well-known and efficient mathematical tools that are
utilized to overcome the impact of imprecise and vague information during the aggregation …

Where a person's choice is not limited to just” no” or” yes,” but encompasses some other
form of characteristics of rejection, T-Spherical fuzzy soft sets are significantly important in …

–spherical fuzzy sets are an extension of picture fuzzy, spherical fuzzy and t-spherical fuzzy
sets, which allow for a more flexible representation of uncertainty. In a–spherical fuzzy set …

In this study, we first introduced the spherical fuzzy Z-numbers (SFZNs) and developed
some basic operational rules. SFZNs can be used effectively to make true ambiguous …

T-spherical fuzzy set studied in this paper adequately defines the uncertain information of
any decision making situations. This paper aims to provide a solution approach to a multiple …

The selection of an appropriate third-party logistics (3PL) provider has become an
inescapable option for shippers in today's business landscape, as the outsourcing of …

The notion of the “complex dual hesitant fuzzy set (CDHFS)” is the combination of the “dual
hesitant fuzzy set (DHFS)” and the “complex fuzzy set (CFS).” It is characterized by two …