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

Abstract

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

DOI: 10.5281/zenodo.14538113