Fuzzy Multi-Objective Optimization Models to Support Recommendation Generation for Personalized Tourist Routes
Abstract
Fuzzy Multi-Objective Optimization Models to Support Recommendation Generation for Personalized Tourist Routes
Incoming article date: 07.03.2025The paper presents an analysis of existing issues in the subject area, upon which research findings are formed to enhance the quality of the tourist experience through the implementation of a software-mathematical complex aimed at generating personalized recommendations. The task of managing tourist resources is addressed by considering the decision support process through the introduction of multi-criteria optimization and fuzzy logic. Such mechanisms significantly improve the accuracy of forming personalized recommendations that meet individual user requests. As an individual algorithm, a method is proposed for introducing ontological hierarchical types of connections that capture generic and object-oriented relationships of tourism categories, characterizing the influence on tourist objects. In addition, to accommodate flexible, poorly formalized user requests, fuzzy logic mechanisms are introduced by implementing fuzzy evaluation scales. The paper presents a description of the implementation of the recommendation algorithm, which possesses scientific novelty and practical significance. A class diagram details the structure of the ontological hierarchical model presented in the work. Based on the provided research results, the effectiveness of the algorithm is tested through test calculations.
Keywords: tourism, tourism optimization, recommendation systems, fuzzy logic, multi-criteria optimization, mobile development