Analysis of Immersive Virtual Reality Tourism Resources Combined with Fuzzy Comprehensive Evaluation Algorithm

Nowadays, transforming tourism resources into attractive tourism landscapes is a critical core task. We must first conduct a scientific and reasonable analysis and evaluation of tourism resources. In addition to providing a direct theoretical foundation for the planning and growth of tourist resources, a thorough assessment of these assets is necessary for their effective preservation, good governance, and planning. A few examples of current approaches to overall assessment include the analytic hierarchy procedure, PCA, data report evaluation, fuzzy overall assessment, artificial neural networks, and assessment systems that combine several approaches. Recently, the use of comprehensive fuzzy evaluation methods and neural networks has become widespread. This paper introduces parallel algorithms and proposes a fuzzy overall evaluation model based on a parallel genetic neural network. © 2024 Slovene Society Informatika. All rights reserved.