Research on Conceptual Evolution Model of Developmental Psychology Based on Fuzzy Clustering Algorithm

Evolutionary development psychology uses the basic principles of evolution to explain contemporary human development, including the study of genetic mechanism and environmental mechanism, because genetic mechanism and environmental mechanism are the basis of the universal development of social and cognitive abilities, and also the basis of the extraevolutionary genetic process to adapt these abilities to local conditions. According to the complexity of trust network, the hierarchical reduction of trust network is put forward, the fuzziness of behavior trust is deeply studied, and the trust management problem is modeled by using fuzzy set theory. A complete conceptual evolution model of developmental psychology is constructed by constructing fuzzy similarity matrix based on rough set, determining fuzzy similarity clustering analysis method of role attributes and giving trust evaluation mechanism. Experimental results show that the clustering results of this algorithm are better than Ward clustering algorithm based on genetic algorithm.