The main objective of a group of decision-makers in a multi-criteria group decision-making (MCGDM) problem is to choose the best option from the available options. Prior to analysis, a number of issues must be resolved to select an appropriate alternative for an MCGDM problem. These issues include quantifying uncertainty in collected data, handling conflicting criteria, evaluating decision makers and criteria weights, properly fusing quantified information, and ultimately choosing the best alternative. The objective of this research is to establish an interactive MCGDM method for evaluating any MCGDM problem while addressing the above-listed challenges. The suggested MCGDM approach employs intuitionistic fuzzy sets (IFSs) to quantify uncertainty in gathered data, assesses decision makers' weights based on their social network, determines criteria weights using the maximizing deviation method, aggregates the data using the Archimedean t-norm and t-conorm (ATT)-based weighted average, and selects the optimal option using the intuitionistic fuzzy Maclaurin symmetric mean and score function. In order to enable manufacturing companies to modify their development strategies for a digital reform in a timely way, the proposed MCGDM technique is used to evaluate the digital reforms of China's manufacturing sector. The results show that the suggested method is practical, flexible, and suitable to assess any MCGDM problem in real life.