Evaluation Method of Implementation Effect of Rural Revitalization Strategy based on Wavelet Analysis Algorithm

Abstract

This study presents an innovative approach to evaluate the implementation effects of the Rural Revitalization Strategy R2S, utilising the robust capabilities of the wavelet analysis algorithm. The proposed methodology integrates the strength of wavelet transform, an advanced mathematical tool for signal processing, with the entropy weighting method and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) model. This integration creates a comprehensive framework for assessing the multifaceted impacts of rural revitalisation initiatives. The wavelet analysis algorithm is the cornerstone of this approach, enabling the decomposition of complex rural development data into different frequency components, thus facilitating a more nuanced analysis. The entropy weighting method contributes by objectively determining the weights of various evaluation indicators, ensuring that the most relevant factors in rural revitalisation are emphasised in the assessment process. The TOPSIS model complements this by clearly ranking the analysed strategies based on their proximity to an ideal solution, thereby enabling decision-makers to identify the most effective strategies for rural development. Together, these techniques form a powerful tool for evaluating the effectiveness of rural revitalisation strategies, offering critical insights for policy formulation and implementation in rural areas. This study’s methodology not only enhances the accuracy of evaluation but also provides a replicable model for similar assessments in other contexts, contributing significantly to rural development and policy analysis.