基于多粒度二元语义和灰色关联分析的科技项目立项评价

摘要

科技项目立项评价是一个集技术、经济、社会、环境、管理等多方面于一体的多属性群决策问题.采用基于多粒度二元语义和灰色关联分析的方法对科技项目进行立项评价,首先将专家给出的语言评价信息用二元语义的形式来表示,然后从多个语言变量集合中选择一个基本语言术语集,并将多粒度语言信息一致化,再采用灰色关联分析法通过计算每个方案对正理想方案相对关联度进行科技项目立项方案优选,最后给出一个算例说明了方法的有效性.%S&T projects establishment is a multiple decision - making attribute concluding technical, economic, social, environmental, management and other aspects. The paper applies the method of grey relational analysis for group decision making to evaluate S&T projects establishment based on multi - granularity 2 - tuple linguistic assessment information processing. Firstly the linguistic assessment information of decision makers is represented by means of 2 - tuple linguistic variables. The basic linguistic term set is chosen from multi - granularity, linguistic term sets and the computational formulae are given to uniform the multi - granular linguistic assessment information into the normalized representation of the 2 - tuple linguistic. Then the optimal S&T project alternative is determined by calculating the linguistic degree of relative grey relational grade of alternative and positive ideal solution. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.