doi: 10.7763/IJCTE.2012.V4.505
A Novel Similarity Measure between Generalized Fuzzy Numbers
V. Lakshmana Gomathi Nayagam
,
Geetha Sivaraman
- Department of Mathematics, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India.
Abstract
In this paper, a new method has been defined to measure the degree of similarity between generalized fuzzy numbers and some properties of the proposed similarity measure have been discussed with examples. The proposed similarity measure is more accurate, robust, free from defect and precise due to the reason that the proposed similarity measure includes minimal parameters to define a generalized fuzzy numbers. This novel similarity measure has many applications in the fields of Clustering, Pattern recognition, Finger-Print matching, Fuzzy risk analysis, Decision- making and Image processing.
Keywords
- Fuzzy numbers
- similarity measure
- generalized fuzzy numbers
How to Cite
V. Lakshmana Gomathi Nayagam and Geetha Sivaraman, "A Novel Similarity Measure between Generalized Fuzzy Numbers," International Journal of Computer Theory and Engineering, vol. 4, no. 3, pp. 448-450, 2012. https://doi.org/10.7763/IJCTE.2012.V4.505
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).