International Journal of Approximate Reasoning
A Method for Automatic Membership Function Estimation Based on Fuzzy Measures
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Computers & Mathematics with Applications
Hi-index | 0.00 |
In this paper we propose a new unsupervised method for estimating class membership functions from statistical data. It combines in an original way information derived from the histogram as well as prior knowledge of the requirements that the functions must satisfy and that cannot be derived from the histogram. The method has been tested successfully on MR brain images, and applications to image fusion are illustrated.