Fuzzy Logic in Business Decision Making: A Systematic Literature Review
DOI:
https://doi.org/10.70577/cieninter.v4i3.114Keywords:
Fuzzy Logic, Decision Making, Systematic Review, PRISMA, Companies.Abstract
This article presents a PRISMA-based systematic review of the use of fuzzy logic in business decision-making in VUCA environments. The search was conducted in Scopus for the period 2021–2026 using the search terms “fuzzy logic” AND “decision” AND “business,” applying filters for subject areas, document type, and open access. From 1,100 initial results, 294 records were narrowed down after filtering by year and subject area; 157 were articles, and 107 open access documents were analyzed in depth, culminating in a final selection of 48 studies with explicit business applications and at least three decision criteria. The findings show an increase in production, peaking in 2024, and publication almost exclusively in English (98.6%), with an overall open access rate of 36.4%. Applications are concentrated in supply chain and logistics (approximately 35%), finance and credit evaluation (20%), sustainability/CSR (15%), and information systems (12%). Fuzzy MCDM approaches (Fuzzy AHP, TOPSIS, DEMATEL, ANP) and inference systems (Mamdani, Takagi–Sugeno) predominate, with a trend toward higher-order sets (type 2, Pythagorean, intuitionistic, neutrosophic). Validation relies on case studies and sensitivity analyses, although only about 50% report explicit procedures. Gaps are identified based on income level, related to data availability, technique selection, and robust longitudinal validation.
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