基于模糊语义算法的科研项目立项评估模型

Model of research project evaluation based on fuzzy semantic algorithm

摘要:

科研项目立项评估属于多属性群决策问题，由多种相互影响的指标决定，且指标之间的关系并不是独立存在，它们组成了一个复杂而具有信息不完全特征的灰色系统。基于模糊理论，提出以百分比填答的模糊语义表，采用模糊语义算法，构建科研项目立项评估模型。构建过程先由回收的电子打分表，取模糊值大于模糊中位数的有效值，并提取出评估科研项目的主指标、次指标，建立科研项目评估表，供评审委员会主任、副主任、专家总体组长进行评估。由评审专家按照科研项目评估表给予各准则的权重，并根据此准则进行科研项目评分，采用模糊集方式表达，将各抽象的准则转为量化的三角模糊数，对模糊数进行排序评估。最后进行案例评估分析，对构建的模型进行验证，结果表明具有良好的优越性，为科学、客观、公正的评估和优选科研项目立项提供了一种更加可行的方法。

关键词:模糊语义算法;科研项目评估;模糊排序;评估模型

Abstract:

The evaluation of scientific research project is a multi-attribute group decision-making problem, which is determined by a variety of interactive indicators. And the relationship between indicators is not independent, they constitute a complex gray system with incomplete information. Based on the fuzzy theory, a fuzzy semantic table is proposed, which is filled in by percentage, and the fuzzy semantic algorithm is used to build the project evaluation model of scientific research projects. In the construction process, the electronic scoring table is recovered first, and the effective value of the fuzzy value greater than the fuzzy median is taken, and the main index and sub-index of the evaluation of scientific research projects are extracted, and the evaluation table of scientific research projects is established for the evaluation of the director, deputy director and the overall leader of the experts of the evaluation committee. The evaluation experts give the weight of each criterion according to the evaluation table of scientific research projects, and grade the scientific research projects according to this criterion. The fuzzy set method is used to express, and each abstract criterion is transformed into a quantitative triangular fuzzy number to evaluate the ranking of the fuzzy numbers. Finally, the case evaluation and analysis are carried out to verify the model, the results show that it has good superiority and provides a more feasible method for scientific, objective and fair evaluation and optimization of scientific research projects.

Key words:Fuzzy semantic algorithm; Evaluation of scientific research projects; Fuzzy ranking; Evaluation model