Project grading management evaluation method for optimizing subjective scores

Abstract

The invention discloses a project hierarchical management evaluation method for optimizing subjective scores, which comprises the following steps of: sorting grouped evaluation data of projects to beevaluated, sorting overall evaluation data of experts for groups and sorting random spot check evaluation data of the projects, taking the three kinds of data as analysis inputs, and setting n projects to be evaluated, dividing the projects into m specialized groups; correcting and calculating a final score of the professional group according to results of the internal evaluation, the overall project and the project spot check; and correcting and calculating the final score of each project. The invention provides a data processing method. A sub-field evaluation result is corrected based on local information collection and an algorithm; and finally, integral evaluation is carried out on the completion conditions of all scientific research projects on the premise of the same standard. The result of original grouping subjective evaluation is reduced as much as possible, and finally, overall evaluation is performed on all scientific research project completion conditions on the premise ofthe same standard, so that the scale consistency and fairness and effectiveness of project evaluation can be kept while parallel evaluation of large-scale scientific research projects is ensured.

Description

technical field [0001] The present invention relates to the fields of project management, evaluation and evaluation, etc., and in particular relates to a project classification management and evaluation method for optimizing subjective evaluation, which is used for classification management, classification evaluation and comprehensive evaluation of large-scale scientific research projects. Background technique [0002] The evaluation of the implementation of scientific research projects is an important part of scientific research project management. It usually requires an objective, specific and appropriate evaluation of the expected goals of scientific research project results, work quality, academic level, application effects, and demand satisfaction. In addition to being used as the basis for whether the scientific research project meets the expected requirements, the results of the project implementation evaluation are also an important reference for subsequent unit or pr...

AI Technical Summary

Problems solved by technology

In order to ensure that the standard scale of the same evaluation is consistent, it is usually necessary to maintain the relative stability of the review expert group. However, when the number of scientific research projects is large, the time period for organizing such serial review is too long; Parallel operation and random selection of experts make it difficult to unify the standard scales for the evaluation of different expert groups, and there are often situations where the actual situation of different groups differs greatly from the evaluation conclusions, which lacks certain fairness; even if the statistical average scores of each group are used However, the non-complete randomness of project grouping will also make it difficult for groups with high-level scientific research projects to have a large difference in the overall evaluation conclusion

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