MVLSC Home · Issue Contents · Forthcoming Papers
A Fuzzy Inference System for Addressing Contemporary Challenges and Elevating Digital Marketing in the Culinary Tourism Industry
Rahib Imamguluyev, Matanat Gurbanova, Vusal Heydarov, Leyla Atakishiyeva, Sabir Guluzada and Nizami Huseynov
This article explores a novel application of fuzzy logic in the context of addressing contemporary challenges and enhancing digital marketing strategies within the culinary tourism industry. As the industry grapples with evolving consumer preferences, technological advancements, and global economic shifts, a fuzzy logic approach offers a nuanced and adaptive framework. Fuzzy logic enables a more flexible and context-aware decision-making process, particularly relevant in the dynamic landscape of culinary tourism where diverse factors influence consumer choices. The article delves into the integration of fuzzy logic to optimize digital marketing efforts, taking into account variables such as cultural nuances, flavor preferences, and regional culinary trends. By embracing fuzzy logic, stakeholders in the culinary tourism sector can tailor marketing strategies with a heightened sensitivity to the inherent uncertainties and complexities of the industry. The study discusses practical implementations of fuzzy logic in digital marketing campaigns, emphasizing its ability to refine targeting, personalize content, and enhance user engagement. Furthermore, the article explores case studies and examples showcasing the efficacy of fuzzy logic in adapting marketing approaches to changing consumer behaviors. Ultimately, this research contributes valuable insights to the intersection of fuzzy logic and digital marketing, offering a promising avenue for elevating the effectiveness of promotional efforts in the dynamic realm of culinary tourism.
Keywords: Culinary tourism, fuzzy logic, digital marketing strategies, consumer preferences, adaptability, user engagement