A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Determination Method of Nonlinear Membership Function Based on the Fuzzy Density Means Cluster
2013
Research Journal of Applied Sciences Engineering and Technology
Gaussian and Sigmoid membership function are commonly used, both of which have well smoothness, clear physical meaning and have no zeros in their figures. In this paper, fuzzy density means clustering method based on data distance is put forward, by using this method, the initial cluster center is obtained objectively, which has avoided the cluster results falling into a local minimum, finally the parameters used for describe the membership function are got. Through simulation, the membership
doi:10.19026/rjaset.5.4691
fatcat:6nrw6o3td5dnvfrg24o3ojhn5q