文献类型：期刊文献

英文题名：Similarity measure based on distance of dual hesitant fuzzy sets and its application in image feature comparison and recognition

作者：Chen, Shihong[1]; Bai, Zhi-Yong[2]

第一作者：陈世红

通讯作者：Chen, Shihong

机构：[1] College of Applied Arts and Science, Beijing Union University, 197 Beitucheng West Rd., Beijing, China; [2] College of Arts and Design, Beijing Forestry University, 35 Tsinghua East Road, Beijing, China

第一机构：北京联合大学应用文理学院

年份：2014

卷号：6

期号：1

起止页码：1691-1696

外文期刊名：Open Automation and Control Systems Journal

收录：EI(收录号：20161802326238);Scopus(收录号：2-s2.0-84964507736)

语种：英文

外文关键词：Fuzzy sets - Image recognition

摘要：In this paper, we propose the distance-based similarity measure of dual hesitant fuzzy sets (DHFSs) and apply it to the image feature comparison and recognition. Based on distance-based similarity measure of DHFS, we establish a comprehensive assessment method of image features to compare the images, where five criteria are represented by DHFSs to assess the image features. By the proposed method, we can determine ranking order of the six alternative images. The assessment results show that the proposed method is simple and effective to solve the problem of image feature comparison and image recognition, and provides a new assessment method for computer image processing experts. ? Chen and Bai.