A Two-Tuple Linguistic Model for the Smart Scenic Spots Evaluation

Abstract

The evaluation on the level of smart scenic spots is crucial in the planning and development of smart tourism destinations. However, existing evaluation approaches for smart scenic spots lack scientific rigor and practical applicability. To address this issue, this study proposes a comprehensive evaluation method that combines qualitative analysis and quantitative calculation to establish a weighted index system for assessing the level of smart scenic spots. The approach utilizes a fuzzy comprehensive evaluation model, integrating linear weighted comprehensive evaluation methods, fuzzy mathematics, and the concept of two-tuple. Moreover, the concept of level eigenvalue is introduced to facilitate the evaluation of smart scenic spots. The proposed two-tuple model and evaluation method demonstrate strong operability, applicability, and promotional potential, as evidenced through example calculations and analysis.