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Computer Science and Information Technology Vol. 13(2), pp. 33 - 38
DOI: 10.13189/csit.2025.130201
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A Review of Fuzzy Database Modeling Usage in the Modern World


Amuomo Nixon *
Department of Mathematics, Statistics and Computer Science, Rongo University, Kenya

ABSTRACT

Fuzzy database modelling is vital for current sectors like healthcare and finance because it optimizes the accuracy and flexibility of big data analysis for decision-making. The benefits of fuzzy database modelling, such as its capacity to manage imprecise and ambiguous data, much outweigh the challenges of its implementation, which include complexity and computational costs. The future of fuzzy database modelling is bright because of continuous technical improvements that may result in better data management features and ever-more complicated applications. In addition to highlighting how fuzzy database modelling fosters efficiency and innovation across various industries, this paper provides a comprehensive discussion on fuzzy database modelling, proposing how fuzzy logic concepts can be integrated into traditional database systems to manage uncertain and imprecise data. The work highlights the demerits of traditional database models in the management of uncertain data through extensive literature analysis and by comparing database models such as relational, object-oriented, NoSQL, and fuzzy database modelling. The advantages of implementing fuzzy database modelling in areas like medical diagnosis are illustrated using real-world applications such as in healthcare, finance, manufacturing and Decision Support Systems. This paper adopted a secondary data review of scientific articles, conference papers, books, and academic databases, whose objective was to gather accurate and useful information on fuzzy database model operations. A summary of the findings based on the inclusion criteria of peer-reviewed articles guided this review. Thus, the paper outlined insightful impacts and limitations of implementing fuzzy database modelling in the areas of data sets, query handling, data entity relationships, data uncertainties handling, and flexibilities in use in real-world applications.

KEYWORDS
Fuzzy Database, Fuzzy Logic, NoSQL

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Amuomo Nixon , "A Review of Fuzzy Database Modeling Usage in the Modern World," Computer Science and Information Technology, Vol. 13, No. 2, pp. 33 - 38, 2025. DOI: 10.13189/csit.2025.130201.

(b). APA Format:
Amuomo Nixon (2025). A Review of Fuzzy Database Modeling Usage in the Modern World. Computer Science and Information Technology, 13(2), 33 - 38. DOI: 10.13189/csit.2025.130201.