Analysis of Maclaurin Symmetric Mean Operators for Managing Complex Interval-Valued q-Rung Orthopair Fuzzy Setting and Their Applications

Abstract

Risk is demonstrated as unknowns that have measurable possibilities, while complication requires unknown with no significant possibilities of the outcome. These notions are associated but are not identical. Ambiguity and risk are closely concerned notions in decisionmaking strategies using fuzzy set theory. Similarly, Maclaurin symmetric mean (MSM) is also massive beneficial and valuable for using to accumulate the family of attributes into a singleton set. To enhance the superiority of the research work, in this scenario, we used the informative idea of a complex interval-valued q-rung orthopair fuzzy (CIVq-ROF) setting and took a valuable tool of MSM to present the CIVq-ROF MSM (CIVq-ROFMSM), CIVq-ROF-weighted MSM (CIVq-ROFWMSM), CIVq-ROF dual MSM (CIVq-ROFDMSM), and CIVq-ROF-weighted dual MSM (CIVq-ROFWDMSM) operators. To verify the supremacy of the invented works for the different values of parameters, several specific cases are also explored. Finally, with the help of multi-attribute decision-making (MADM) skills, we identified a beneficial optimal in the presence of the source of descriptions in the form of invented operators using the decision making process. Comparison of the invented approaches with many existing scenarios is also simplified at the end of this analysis, which shows the dominancy and competency of the diagnosed approaches.