Research on an Experience-Data Collaborative Evaluation Method for Geoheritage Based on Combined Entropy Weight and Coefficient of Variation Weighting
摘要
Geoheritage evaluation is fundamental for formulating conservation strategies and sustainable development plans. To address the limitations of excessive subjectivity and one-sidedness in existing single-weighting methods for geoheritage evaluation, this study focuses on experience-data collaborative evaluation. We design a combined weighting scheme integrating entropy weight and coefficient of variation methods to enhance objectivity and comprehensiveness. The theoretical basis for combining entropy weight and coefficient of variation methods is elucidated, followed by constructing a three-dimensional geoheritage evaluation index system encompassing scientific, aesthetic, and development/utilization values. Using the hinterland of the Three Gorges Reservoir Area as a case study, field surveys and statistical data collection were conducted to calculate entropy weights, coefficient of variation weights, and comprehensive weights for comparative analysis, validating the rationality of combined weighting. A weighted sum model was employed to derive comprehensive evaluation results, while application scenarios, scope, and prerequisites were systematically analyzed. Results indicate that collaborative evaluation integrates data information entropy and dispersion, mitigating biases inherent in single-objective weighting. Evaluation outcomes align closely with actual geoheritage conditions, proving suitable for large-scale geoheritage surveys, geopark planning, and conservation prioritization, provided sufficient objective data and preprocessed indicators are available. This study offers a reliable methodological reference for scientific geoheritage evaluation.