Abstract
Aim of this paper is to propose a new method for Adaptive Fuzzy Homogeneity Analysis. Van Rijckevorsel et al. (1987) define Fuzzy Homogeneity Analysis (FHA) as the Homogeneity analysis of non linear transformed data, where the transformation is performed using B-splines. The originality of the method consists of the inclusion of the knot location among the parameters to be defined and for the adaptivity of the process of optimization of the loss function. An algorithm to perform the proposed method is described. A comparison with the results of an exhaustive algorithm is reported to illustrate the performance of the proposed adaptive algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
