As an extension of several fuzzy structures such as fuzzy sets, intuitionistic fuzzy sets, picture
fuzzy sets, q-rung ortho-pair fuzzy sets, and T-spherical fuzzy (TSF) sets (TSFSs), are an …

A lot of fuzzy models have been planned and researched to review the information under
uncertainty and ambiguity. Among these, the model of the interval-valued picture fuzzy set …

With the generalisation of intuitionistic fuzzy sets (IFSs), picture fuzzy sets (PFSs) have been
developed based on membership, neutral membership, and non-membership degrees …

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 …

Unlocking offshore wind farms' high energy generation potential requires a comprehensive
multi-disciplinary analysis that consists of intensive technical, economic, logistical, and …

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 …

Multi-attribute group decision-making (MAGDM) is an interesting technique to find the most
optimal alternative among comparative alternatives. Several authors put forward to MAGDM …

The framework of prevailing Maclaurin symmetric mean (MSM) operator is the modified tool
of the traditional aggregation function is a massive significant and influential, used for …

Aggregation operators (AOs) are utilized to overcome the effects of attributes under some
specific degree of weight in the decision-making (DM) process. The AOs have a large …

A contribution of this article is to introduce new q-rung Orthopair fuzzy (q-ROF) aggregation
operators (AOs) as the consequence of Aczel–Alsina (AA) t-norm (TN)(AATN) and t-conorm …