Journal Published Online: 09 October 2014
Volume 43, Issue 4

An Extended Algorithm of Similarity Measures and Its Application to Radar Target Recognition Based on Intuitionistic Fuzzy Sets



The main purpose of this study was to extend an algorithm proposed by Liang and Shi in 2003 for the measurement of similarity in pattern-recognition problems. The third measure of similarity in their algorithm fails to satisfy the necessary criteria, thereby invalidating their claims. In this study we developed two new approaches that satisfy the four axioms associated with the measurement of similarity. We then implemented these measures in a new algorithm and used numerical examples to examine the problem encountered by Liang and Shi. Finally, we evaluated the applicability of the proposed algorithm in a problem involving radar target recognition. Our findings provide a solid foundation for the development of a logical framework with which to select an appropriate measure of similarity for pattern-recognition problems.

Author Information

Hung, Kuo-Chen
Dept. of Computer Science and Information Management, Hungkuang Univ., Taichung City, TW
Lin, Jennifer
Dept. of Transportation Logistics & Marketing Management, Toko Univ., TW
Chu, Peterson
Dept. of Traffic Science, Central Police Univ., TW
Pages: 10
Price: $25.00
Reprints and Permissions
Reprints and copyright permissions can be requested through the
Copyright Clearance Center
Stock #: JTE20130290
ISSN: 0090-3973
DOI: 10.1520/JTE20130290