Design and Optimisation of Research Performance Allocation Based on Principal Component Analysis

In the field of scientific research, scientific and reasonable scientific research performance allocation can mobilise the enthusiasm of researchers to the greatest extent, which is conducive to promoting the effective transformation and vigorous development of science and technology. In this paper, for the problem of scientific research performance allocation, the model of principal component analysis is established to be used for programme design, and the 2023 scientific research achievement incentives of 20 scientific research post employees are evaluated. A reasonable scheme is formulated to determine the priority of bonus distribution by the ranking of scientific research achievements and to distribute the bonus by using the law of two-eighths.