Cargando…
Generalized Grey Target Decision Method for Mixed Attributes Based on Kullback-Leibler Distance
A novel generalized grey target decision method for mixed attributes based on Kullback-Leibler (K-L) distance is proposed. The proposed approach involves the following steps: first, all indices are converted into index binary connection number vectors; second, the two-tuple (determinacy, uncertainty...
Autor principal: | Ma, Jinshan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513048/ https://www.ncbi.nlm.nih.gov/pubmed/33265612 http://dx.doi.org/10.3390/e20070523 |
Ejemplares similares
-
Kullback–Leibler divergence and the Pareto–Exponential approximation
por: Weinberg, G. V.
Publicado: (2016) -
Computation of Kullback–Leibler Divergence in Bayesian Networks
por: Moral, Serafín, et al.
Publicado: (2021) -
Kullback Leibler divergence in complete bacterial and phage genomes
por: Akhter, Sajia, et al.
Publicado: (2017) -
Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance
por: Andrei, Victor, et al.
Publicado: (2016) -
Identifying rare variants for quantitative traits in extreme samples of population via Kullback-Leibler distance
por: Xiang, Yang, et al.
Publicado: (2020)