Innovative art selection through neutrosophic hesitant fuzzy partitioned Maclaurin symmetric mean aggregation operator.

The neutrosophic hesitant fuzzy set is the union of the neutrosophic set and hesitant fuzzy set in which each element has membership, neutrality, and non-membership arrays which verifies infrequency in labeling uncertainty in daily usage. We proposed two novel operators in this analysis that demonstrate evolution, one is the neutrosophic hesitant fuzzy partitioned Maclaurin symmetric mean (NHFPMSM) and the other is the neutrosophic hesitant fuzzy weighted partitioned Maclaurin symmetric mean (NHFWPMSM). These novels aim to draw inspiration from the partitioned Maclaurin symmetric mean concept.

Generalized q-rung picture linguistic Schweizer and Sklar aggregation operators and their application in decision making.

The q-rung picture fuzzy sets act as a proficient and extensive extension of q-rung orthopair fuzzy sets and picture fuzzy sets within fuzzy set theory. The parameter q and the three real-valued membership functions enable us to perform better than existing approaches in describing mysterious data. Here, we built aggregation operators for the q-RPLFS framework using the Schweizer and Sklar (SS) operations.