q-Rung orthopair fuzzy set (qROFS) and m-polar fuzzy set (mPFS) are rudimentary concepts
in the computational intelligence, which have diverse applications in fuzzy modeling and …

Modeling uncertainties with multipolar information is an important tool in computational
intelligence to address complexities in real‐world circumstances. An m‐polar fuzzy set …

A useful tool for expressing fuzziness and uncertainty is the recently developed n, m-rung
orthopair fuzzy set (n, m-ROFS). Due to their superior ability to manage uncertain situations …

Many decision-making problems in real-life scenarios depend on how to deal with
uncertainty, which is typically a big challenge for decision-makers. Mathematical models are …

The n, m-rung orthopair fuzzy set theory has appeared as a fresh mathematical tool for
dealing with uncertainty in several fields of the real world. The n, m-rung orthopair fuzzy sets …

Abstract p, q-quasirung orthopair fuzzy set (p, q-QOFS) is an extension of the q-rung
orthopair fuzzy set (q-ROFS) theory used to represent uncertainty and vagueness in …

In multi-attribute group decision-making (MAGDM) problems, there exist some multi-polarity
for the attributes and criteria. Sometimes in real life situations, we deal with the both …

A q-rung orthopair fuzzy (q-ROF) set (q-ROFS) is one of the advanced fuzzy sets capable of
processing complex real-world information satisfactorily. q-ROF distance measures are used …

The q-Rung Orthopair Fuzzy set (qROF-set) environment is a contemporary tool for handling
uncertainty and vagueness in decision-making scenarios. In this paper, we delve into the …

A q-ROFS (q-rung orthopair fuzzy set) is one of the most trustworthy tool to handle the
uncertainties in the data during the decision-making process. The q-ROFS is a …