Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Jiao, Lianmeng"'
Publikováno v:
In Information Sciences October 2024 681
Publikováno v:
Knowledge-Based Systems, 2022(257): 109937
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, but also to any subset of a collection of classes, which generalizes the
Externí odkaz:
http://arxiv.org/abs/2112.10152
Publikováno v:
In International Journal of Approximate Reasoning December 2024 175
Publikováno v:
In Information Fusion December 2024 112
Publikováno v:
In Information Sciences April 2024 665
Publikováno v:
Applied Soft Computing, Vol. 129, 109619, 2022
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 model-based clustering algorithm, called EGMM (evidential GMM), in the the
Externí odkaz:
http://arxiv.org/abs/2010.01333
Publikováno v:
In Pattern Recognition December 2023 144
Autor:
Jiao, Lianmeng, Geng, Xiaojiao
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 effective methods to deal with such MADA problems. As kernel of the ev
Externí odkaz:
http://arxiv.org/abs/1903.11857
Publikováno v:
In Knowledge-Based Systems 5 December 2022 257
Publikováno v:
In Applied Soft Computing Journal November 2022 129