A New Grey Target Evaluation Method of Science and Technology Talents Considering ‘Dominant-Implicit’ Reference Points

Abstract

This paper studies the grey target evaluation model of science and technology talents by drawing on the ‘dominant-implicit’ double reference point. Input and output perspectives are adopted and developed to establish a dominant reference point for the evaluation of science and technology talents, which takes into account the ‘Peer-Status quo’ and ‘Baseline-History’, as well as an implicit reference point, such as the ‘Expectation-Opportunity’ and ‘Goal-Preference’. The framework of the grey target evaluation model for science and technology talents is then constructed and given a dual reference (dominant–implicit). The spherical grey target on the maximum, minimum and arithmetic mean values of the target effect measure values of each reference point is established to determine the reference point weight under the input and output indicators. This research will contribute to the comprehensive effect measure value and the ranking of results that relate to science and technology talents and will demonstrate that its applied method is feasible.