JOURNAL ARTICLE

A Fuzzy Inference System for Addressing Contemporary Challenges and Elevating Digital Marketing in the Culinary Tourism Industry.

  • Published In: Journal of Multiple-Valued Logic & Soft Computing, 2025, v. 46, n. 5/6. P. 503 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Imamguluyev, Rahib; Gurbanova, Matanat; Heydarov, Vusal; Atakishiyeva, Leyla; Guluzada, Sabir; Huseynov, Nizami 3 of 3

Abstract

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. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Multiple-Valued Logic & Soft Computing. 2025/11, Vol. 46, Issue 5/6, p503
  • Document Type:Article
  • Subject Area:Astronomy and Astrophysics
  • Publication Date:2025
  • ISSN:15423980
  • Accession Number:192242472
  • Copyright Statement:Copyright of Journal of Multiple-Valued Logic & Soft Computing is the property of Old City Publishing, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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