Advanced T2NN-Taxonomy Framework for Assessing Quality of Dynamic Logos in Digital Media via Type-2 Neutrosophic Multi-Criteria Decision Analysis

In the context of digital media, the quality evaluation of dynamic logo design focuses on visual impact, brand communication, technical execution, and user experience. Visual impact assesses the logo's appeal and creativity; brand communication examines if the logo accurately reflects the brand image; technical execution looks at animation smoothness and cross-platform compatibility; user experience measures interactivity and memorability. These factors ensure the logo's effectiveness and influence in a digital environment. The evaluation of dynamic logo design quality within the digital media context is Multi-Criteria Decision Analysis (MCDA). Recently, the Taxonomy technique was described to grapple with MCDA. The Type-2 neutrosophic sets (T2NSs) are described as technique for characterizing fuzzy data during the evaluation of dynamic logo design quality within the digital media context. In this study, Taxonomy is described for MCDA under T2NSs. Then, the type-2 neutrosophic number T2NN (T2NN-Taxonomy) technique is described for MCDA. Finally, numerical example for evaluation of dynamic logo design quality within the digital media context is described to show the T2NN-Taxonomy technique. The key contribution of this research is described: (1) the novel MCDA technique is described based on Taxonomy technique with T2NN; (2) The new MCDA technique based on T2NN-Taxonomy technique is described for evaluation of dynamic logo design quality within the digital media context; (3) numerical example for evaluation of dynamic logo design quality within the digital media context and some comparative analysis is described to verify the T2NN-Taxonomy technique.