Aggregation Operators Based on Algebraic t-Norm and t-Conorm for Complex Linguistic Fuzzy Sets and Their Applications in Strategic Decision Making

Aggregation operators perform a valuable and significant role in various decision-making processes. Averaging geometric aggregation are both used for capturing the interrelationships of aggregated preferences, even if preferences independent. The purpose this paper is to analyze theory complex linguistic fuzzy (CLF) sets their important laws, such as algebraic score values, accuracy describe relationship between values with help properties. Additionally, based on proposed CLF information, we introduce weighted averaging (CLFWA), ordered (CLFOWA), hybrid (CLFHA), (CLFWG), (CLFOWG), (CLFHG) operators. fundamental properties some results these evaluated, particular cases described. Based presented operators, technique evaluating “multi-attribute decision-making” (MADM) problems consideration derived. superiority derived illustrated via practical example, set experiments, qualitative comparisons. illustration indicate that can be feasible superior information. Further, it determining attributes criteria experts. Moreover, capable MADM using numbers.