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基于三维坐标及余弦相似度的创新需求集成与筛选方法 被引量:6

Method for Integration and Selection of Innovation Demands Based on Three-dimensional Coordinates and Cosine Similarity Measures
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摘要 为解决产品创新设计过程中多维需求的集成与筛选问题,现提出一种基于三维坐标及余弦相似度的创新需求筛选方法。首先采用创新需求三维坐标来表示每项创新需求,其次应用矢量模的计算方法确定每项创新需求强度的大小,根据余弦相似度计算创新需求与基准创新需求间的相似度,以需求强度和相似度为基础,构建一个创新需求四分图来对创新需求进行直观的筛选,计算出每项创新需求的创新集成度来对创新需求做出精确的筛选,将二者相结合组成系统的筛选方法,最后通过实例验证了所提方法的有效性。 To solve the matter of the integration and selection of multidimensional demands in innovative design of products, a method based on three-dimensional coordinates and Cosine similarity measure is proposed. First of all, three-dimensional coordinates is used to show vector of innovation demands. Secondly, the intensity of every innovation demand is calculated by vector module, and the similarity between innovation demands and bench- mark innovation demand is calculated by Cosine similarity measure, based on the intensity and similarity, a quadrifid graph model can be built and it can make an intuitive selection. Depending on the innovative integra- tion degree we can make a precise selection. After combing the quadrifid graph model and innovative integration degree, a systematic selecting method is obtained. Finally, through the example, it proves the feasibility of the method.
作者 孔造杰 李斌 KONG Zao-jie;LI Bin(School of Economics & Management,Hebei University of Technology,Tianjin 300401,China;Zhuhai College of Jilin University,Zhuhai 519041,China)
出处 《运筹与管理》 CSSCI CSCD 北大核心 2018年第11期87-94,共8页 Operations Research and Management Science
关键词 创新需求三维坐标 基准创新需求 余弦相似度 创新集成度 three-dimensional coordinates of innovation demand benchmark demand Cosine similarity innova-tive integration degree
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