Similarity Measure Based on Distance of Dual Hesitant Fuzzy Sets and ItsApplication in Image Feature Comparison and Recognition

摘要

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