Fuzzy Logic-Driven Strategies for Diversity and Inclusion in Multicultural Marketing

Abstract

In an increasingly globalized economy, businesses must engage diverse consumer groups with unique preferences and cultural nuances. Traditional marketing strategies, relying on rigid segmentation and deterministic data analysis, often fail to capture the complexities of multicultural consumer behavior. This chapter examines fuzzy logic's function in diversity-driven marketing, providing a versatile framework for managing ambiguous and subjective customer data. Fuzzy multi-criteria decision-making (MCDM) techniques like fuzzy AHP and fuzzy TOPSIS can be used to help organizations optimize marketing tactics based on emotional engagement, linguistic appeal, and cultural relevance. Three global marketing campaigns—universal, localized, and hybrid—are evaluated in a case study, showing how localized storytelling raises brand engagement and trust. The study also emphasizes real-time optimization, in which marketing techniques are continuously improved by fuzzy logic in response to changing customer interactions.

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