MABAC-based evaluation of multimedia technology application effect in film and television post-production.

This article focuses on evaluating the application effect of computer multimedia technology in film and television post-production using a multi-attribute group decision-making (MAGDM) approach. It introduces the intuitionistic fuzzy multi-attributive border approximation area comparison (IF-MABAC) method, which integrates intuitionistic fuzzy sets (IFSs), the maximizing deviation method, and prospect theory to better reflect decision-makers' psychological behaviors and risk preferences. An empirical example involving five multimedia technology enterprises assessed by three experts across four attributes—picture texture, production cost, audience satisfaction, and economic benefits—is used to demonstrate the method's effectiveness and superiority compared to existing approaches. The study concludes that the IF-MABAC method improves evaluation accuracy and stability, supporting enhanced decision-making in multimedia technology applications within the film and television industry.