摘要
鉴于科技服务业评价指标体系的分层性和模糊性,引入模糊数学思想,构建基于层次分析法和二级模糊综合评判方法的定量模型。对模糊二元对比排序法进行改进,将其用于隶属度的测算,以提高隶属度的客观性和有效性。通过变权处理,使各指标权重能够根据指标值进行动态修正,减少评判者设定指标权重时的主观随意性,使评判结果更加科学合理。实证分析验证了模型的实用性和可操作性,为相关部门制定科技服务业发展规划提供了依据。
An AHP based model of two-stage fuzzy comprehensive judgment is established to deal with the hierarchy and fuzziness in evaluation of science ＆ technology service. Improved fuzzy binary sequences are used to enhance the objectivity and effectiveness in membership degrees calculation. The idea of variable weight value is also introduced that enables dynamical adjustment of weight values of the indexes so as to reduce the arbitrary decision in setting the index weights and improve the accuracy and accountability of U th dgrnents. Experiments have verified the feasibility and practicability of the model for governmental planning of e science ＆technology services＇ development.
出处
《厦门理工学院学报》
2013年第2期85-89,共5页
Journal of Xiamen University of Technology
基金
福建省软科学计划资助项目(2011R0091)
福建省教育厅社会科学研究项目(JA12284S)
关键词
科技服务业
竞争力
评判模型
二级模糊综合评判
模糊二元对比排序
变权
science ＆ technology service
competitiveness
evaluation model
two-stage comprehensive judgment
fuzzy binary sequences
variable weight
