In this paper, we extend the concept of evidential reasoning (ER) to evidential reasoning based on Gini coefficient (ERBGC) to obtain the weights of evidence.
Gini coefficient-based evidential reasoning approach with unknown evidence weights. https://doi.org/10.1016/j.cie.2018.07.022 ·.
The determination of evidence weights is an important step in evidence combination, which significantly influences final results.
Abstract. In the evidential reasoning approach of decision theory, different evidence weights can generate different combined results.
Missing: Gini | Show results with:Gini
Gini coefficient-based evidential reasoning approach with unknown evidence weights ... based on Gini coefficient (ERBGC) to obtain the weights of evidence ...
Jan 31, 2024 · In the evidential reasoning approach of decision theory, different evidence weights can generate different combined results.
Gini coefficient-based evidential reasoning approach with unknown evidence weights. Xing-Xian Zhang, Ying-Ming Wang, Sheng-Qun Chen, Jun-Feng Chu, Lei Chen.
People also ask
What is the difference between Gini index and Gini coefficient?
What is the principle of anonymity of Gini coefficient?
Jul 23, 2020 · ... Gini coefficient-based evidential reasoning approach with unknown evidence weights, Computers & Industrial Engineering. 124 (2018) 157-166 ...
This paper proposes a novel ranking model under probabilistic hesitant fuzzy set (PHFS) by extending the idea of evidence theory (ET).
In this paper, we consider two well-known methods for analysis of the Gini index, which are U-statistics and linearization for some incomedistributions. In ...