基于贪心搜索的分组项目评审专家遴选方法

在科技项目评审环节中,往往每组同时有多个项目和多位评审专家,其中每个项目都有其所覆盖的专业领域,而每位专家又有其所研究的专业领域,如何科学且自动地根据待评审科技项目所涵盖的专业领域,从候选专家库中找出合适的评审专家组合团体具有很实际的研究意义.对此本文提出了一种基于贪心算法的科技项目评审专家多重匹配模型,该模型应用于已...

Evaluation Experts Selecting Strategy Based on Greedy Algorithm

Multiple technology projects in a group are evaluated by several experts.Each project covers certain fields and each expert has his/her own advantageous fields.Thus,it is a significant challenge to scientifically and automatically group experts in suitable fields of relevant projects from a large number of candidates.This study proposes a multi-match model GIS of evaluation experts for technology projects based on the greedy algorithm.This model is applied to the two associated“project-field”and“expert-field”correlation matrices.Specifically,it separately calculates the discrete distribution of projects and experts in each field.Then it uses a proper evaluation function to measure the project-expert match and finally obtains the optimal team.The experiments based on the data sets in the power industry show that this model can match the experts with the technology projects and thus has high rationality and accuracy.It avoids the careless mistakes and unfairness in traditional expert selection while reducing human costs.