54 citations · 84 across the 4 of their papers we have counts for
4 papers
TECM: Transfer Learning-based Evidential C-Means Clustering
Lianmeng Jiao, Feng Wang, Zhun-ga Liu +1
As a representative evidential clustering algorithm, evidential c-means (ECM) provides a deeper insight into the data by allowing an object to belong not only to a single class, bu…
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering
Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu +1
The Gaussian mixture model (GMM) provides a simple yet principled framework for clustering, with properties suitable for statistical inference. In this paper, we propose a new mode…
Analysis and Extension of the Evidential Reasoning Algorithm for Multiple Attribute Decision Analysis with Uncertainty
Lianmeng Jiao, Xiaojiao Geng
In multiple attribute decision analysis (MADA) problems, one often needs to deal with assessment information with uncertainty. The evidential reasoning approach is one of the most…
A nonlinear tracking algorithm with range-rate measurements based on unbiased measurement conversion
Lianmeng Jiao, Quan Pan, Yan Liang +1
The three-dimensional CMKF-U with only position measurements is extended to solve the nonlinear tracking problem with range-rate measurements in this paper. A pseudo measurement is…