A Self-determined Evaluation Method for Science Popularization Based on IOWA Operator and Particle Swarm Optimization

• 作者: Qingquan Qian Tianlei Zang Yan Wang Zhengyou He
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Science POPULARIZATION Self-determined evaluation Induced ORDERED Weighted AVERAGING operator Particle SWARM optimization Perron-Frobenius decision eigenvalve THEOREM
• 年，卷（期）: 2016,（1）
• 页码范围: 27-29
• 页数: 3页
• 分类号: C5

摘要

With the increase of science popularization, evaluation of science popularization has become an urgent demand. Considering science popularization bases as independent agents, a self-determined evaluation approach for science popularization using induced ordered weighted averaging (IOWA) operator and particle swarm optimization (PSO) is proposed in this paper.Firstly, six factors including science popularization personnel, space, fund,media, activity and influence are selected to construct an index system for science popularization evaluation. On this basis, the absolute dominance and relative dominance of evaluation indexes are used as induced components, and the prior order of the evaluation indexes is determined. Besides, the optimization model of index weighted vectors is established by IOWA operator, index weighted vectors are calculated by particle swarm optimization algorithm, and index weighted vectors and evaluation value vectors are obtain. Finally, the optimal evaluation vectors and evaluation results are given according to the Perron-Frobenius decision eigenvalve theorem .