The invention relates to the technical field of
data processing, and discloses an AHP-based student development evaluation method and
system. The method comprises the steps of performing feature root
decomposition, consistency check and hierarchical transitivity analysis on an analytic hierarchy matrix, and performing normalization
processing and stability optimization on a weight vector to obtain a hierarchical
weight coefficient; performing hierarchical comprehensive calculation, criterion synthesis and multi-level evaluation mapping on the basis of the hierarchical
weight coefficient, and combining fuzzy membership analysis and evaluation calibration to obtain a comprehensive
evaluation result; and aiming at the comprehensive
evaluation result, constructing a multi-criterion
decision model and a development path map, and carrying out scheme synthesis and multi-objective optimization analysis to obtain personalized suggestions. According to the method and the device, dynamic optimization and adaptive adjustment of the multi-dimensional evaluation indexes are realized, and personalized development suggestions are generated through a data
driving mode, so that scientificity and pertinence of student development evaluation are improved.