面向复杂产品系统项目评价专家遴选方法研究

专家遴选是复杂产品系统(CoPS)项目科学评价过程中的重要决策问题,科学合理的遴选专家有利于CoPS项目的实现。CoPS项目的多领域知识集成性和项目任务的模糊不确定性,给项目评价的知识属性识别和专家遴选相对“小”领域的科学判断带来较大困难。在面向CoPS项目评价的专家遴选研究问题上,提出了包含技术领域和任务领域的二元知识分类表征方法,构建了基于直觉模糊相似度的专家知识关联度侧度模型,在此基础上建立了包含专家业绩评价和知识关联度的专家遴选多目标决策模型,并给出了一个航天领域电子元器件项目评价的实例。

Research of the Expert Selection of Complex Product Systems Project Evaluation

The expert selection is an important decision problem in the process of complex product systems(CoPS)project evaluation and suitable experts will facilitate the success of CoPS projects. Considering the multi-field knowledge integration and the fuzzy uncertainty of the project task, the knowledge attribute identification of the CoPS project evaluation and the scientific judgment of the expert relatively “small” field are major difficulties. As to the expert selection oriented to the CoPS project evaluation, a dual method of the knowledge classification and characterization including technical fields and task fields is put forward, a measuring model for the expert's knowledge relationship is built based on the theory of intuitionistic fuzzy sets similarity, a multi-objective decision-making model is built on the basis of the individual performance and knowledge relationship of the expert, and a real example of electronic component project evaluation in the aerospace domain is given to illustrate the application of the proposed method.