The notions of the bipolar complex fuzzy set (BCFS) and complex bipolar fuzzy set (CBFS)
have been already given, but these notions of BCFS and CBFS have the problem that they …

Location selection of electric vehicle charging stations (LSEVCS) is a complex multi-attribute
group decision-making (MAGDM) problem involving multiple experts and multiple conflicting …

The notion of bipolar soft sets has already been defined, but in this article, the notion of
bipolar soft sets has been redefined, called T‐bipolar soft sets. It is shown that the new …

Bipolar complex fuzzy information is a new idea that can easily depict awkward and vague
information in real life problems. The main theory of the bipolar complex fuzzy set is the …

This article introduces the notion of bipolar complex fuzzy soft set as a generalization of
bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary …

In this article, we introduce logarithmic operations on bipolar fuzzy numbers (BFNs). We
present some new operators based on these operations, namely, the logarithm bipolar fuzzy …

This article introduces a new hybrid model called fuzzy N-soft sets. It is a suitable
combination of fuzzy set theory with N-soft sets, a model that in turn extends soft sets. Our …

Multi-attribute decision-making (MADM) is a cognitive process for evaluating data under
various attributes in order to find the best option in terms of the preferences of decision …

Data clustering is an instrumental tool in the area of energy management resources,
marketing, and business. Clustering helps to increase productivity, facilitate decision …

Bipolar complex fuzzy (BCF) is one of the massive, important, and dominant technique,
which has been used for managing awkward and inconsistent information in genuine life …