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
describing imprecision, ambiguity, and inaccuracy, and the point operator is a useful
aggregation operator which can manage the uncertainty and thus obtain intensive
information within the decision-making process. In the latest realization, the linguistic q-rung
orthopair fuzzy number (L q-ROFN) is suggested where the linguistic variables are …

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
evaluation information by the parameter q taking different values. The generalized Shapley
bi-direction Choquet integral (GSBDCI) can globally capture the interrelationship between
input arguments sets and define the weight of input arguments. So, the aggregation
operators (AOs) are proposed based on GSBDCI for Lq-ROFS and used in multiple attribute …