The Fuzzy Integral Evaluation Method Based on Feature Weighting for the Level of Complex Social Development

摘要

This paper puts the thought of the dichotomy of grid used in clustering center extraction algorithm based on grid. The structure optimization of fuzzy clustering neural network model is realized. This paper takes the classification of social development level as an example to verify that this structure has the advantages of overcoming the slow convergence speed and solving the problem of clustering dead point. The paper analyses various factors affecting the comprehensive development level of society, and quotes the concepts of fuzzy measure and fuzzy integral, puts forward the evaluation method of fuzzy integral for the comprehensive development level of society, and establishes the corresponding evaluation model of multi-index and multi-level fuzzy integral for the comprehensive development level of society.