Study on comprehensive evaluation of environmental pollution in tourist attractions based on FCM algorithm

To address the shortcomings of traditional evaluation approaches for environmental pollution in tourist destinations, such as their limited precision, accuracy, and reliability, we must seek innovative strategies, a comprehensive evaluation method of environmental pollution in tourist attractions based on FCM algorithm is proposed. The comprehensive evaluation index system of environmental pollution in tourist attractions is established, and the evaluation index data are clustered by FCM algorithm. The improved principal component analysis is improved by logarithmic processing, so that the improved principal component analysis can process the evaluation index data with high quality, and environmental pollution evaluation results are obtained by combining the factor load matrix. The empirical findings indicate that the average precision of the evaluation index stands at an impressive 97.36%, the evaluation accuracy is between 96.5% and 98.3%, and the average reliability of the evaluation result is 0.97, which can realise the accurate evaluation of environmental pollution.