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

In this study, we aim to develop a method for solving multi-attribute group decision-making
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …

The current study proposes the concept of 2-tuple linguistic complex q-rung orthopair fuzzy
sets (2TLC q-ROFSs) to address the uncertainty of the multi-attribute group decision making …

To express uncertain and imprecise information systematically, the concept of probabilistic
linguistic q-rung ortho-pair fuzzy set (PLqROFS), which is an advanced version of linguistic …

With the continuous development of the economy and society, decision‐making problems
and decision‐making scenarios have become more complex. The q‐rung orthopair fuzzy set …

The q-rung orthopair fuzzy sets dynamically change the range of indication of decision
knowledge by adjusting a parameter q from decision makers, where q ≥ 1 q≥ 1, and …

Linguistic q-rung orthopair fuzzy number (Lq-ROFN) is a valuable tool for expressing the
uncertainty of qualitative information that has received a lot of attention over the last 5 years …

Linguistic q-rung orthopair fuzzy set (Lq-ROFS) is extension of linguistic intuitionistic fuzzy
set (LIFS) and linguistic Pythagorean fuzzy set (LPFS) which can depict broader range of …

Linguistic q-rung orthpair fuzzy sets (Lq-ROFS) can facilitate describing the uncertainty and
the vagueness information existing in the real world. Based on the advantages of Lq-ROFSs …

The q-rung orthopair fuzzy sets (q-ROFSs), originally proposed by Yager, can express
uncertain data to give decision-makers more space. The q-ROFS is a useful tool for …