A Neutrosophic SuperHyperModal Framework for the Multilayered Evaluation of New Media Marketing Strategies in the Automotive Industry

Abstract

The increasing complexity of new media marketing strategies in the automotive 
industry introduces significant uncertainty, vagueness, and contradiction  particularly 
across digital platforms such as social media, influencer channels, and programmatic 
advertising. Traditional probabilistic and fuzzy models fail to encapsulate this multi
source indeterminacy. This paper proposes a novel Neutrosophic SuperHyperModal 
Framework (NSMF) that integrates three advanced constructs: (1) Neutrosophic Modal 
Logic to model necessity, possibility, and indeterminacy of consumer responses; (2) 
SuperHyperStructures to represent nested, multi-layered marketing operations; and (3) 
N-Valued Neutrosophic Trapezoidal Numbers to quantify incomplete and conflicting 
campaign metrics. A new quantitative metric  Marketing Effectiveness Index (MEI)  is 
introduced based on refined neutrosophic aggregation operators. The framework is 
demonstrated via a full case study involving three media channels and five strategic 
dimensions, providing step-by-step calculations, validated equations, and structural 
mappings. 

DOI: 10.5281/zenodo.15806741