FUZZY LOGIC IN DORMITORY ACCOMMODATION RECOMMENDATION SYSTEMS: ACCOUNTING FOR UNCERTAINTY AND LINGUISTIC STUDENT PREFERENCES

Abstract

The problem of student dormitory room allocation is considered as a multi-criteria decision-making task under uncertainty. The relevance of the study is driven by the need to improve the quality of accommodation processes through intelligent recommendation approaches that account for individual student preferences, rather than relying on simple filtering mechanisms. The aim of the paper is to develop a recommendation model that evaluates the suitability of dormitory rooms based on both quantitative characteristics and subjective user preferences. To achieve this goal, a fuzzy logic approach is applied to model the linguistic nature of user requirements and to handle uncertainty in decision-making. The proposed model calculates partial compatibility scores for multiple criteria, including price, distance, comfort, noise level, and social compatibility, and aggregates them into an overall suitability measure for each student–room pair. The effectiveness of the approach is evaluated by comparing it with the Simple Additive Weighting method, used as a baseline. The results show that the fuzzy logic-based approach provides more differentiated and flexible recommendations, better representing diverse student preferences and improving the quality of ranking alternatives. The analysis of score distributions shows that the fuzzy logic approach yields a smoother, more continuous range of compatibility values, whereas the additive weighting method tends to produce clustered scores, reducing the ability to distinguish between alternatives. The proposed method can be used as a decision-support tool in dormitory management systems to enhance allocation efficiency and user satisfaction.