On Federated Learning-Oriented q-Rung Picture Fuzzy TOPSIS/VIKOR Decision-Making Approach in Electronic Marketing Strategic Plans

With the advancements in decision-making & learning models, it is worth investigating the synchronization between the conventional decision-making approaches and the federated learning process so as to obtain an intelligent hybrid assessment approach. The present paper incorporates the notion of
$q$
-rung picture fuzzy set and bi-parametric discriminant information measure in the federated learning-oriented TOPSIS/VIKOR decision-making models for electronic marketing strategic plans. With the help of embedding federated learning, the multi-criteria decision-making process acquires the additional advantage of establishing the pairwise comparison from the decision-makers. A trusted model in the assessment of the potential strategic plans for electronic goods marketing in view of the criteria and the available alternatives has been structured and computationally evaluated.