Linganisha mbinu

	Muunganisho wa Dempster-Shafer	Upigaji Kura Wenye Uzito
Nyanja	Ujifunzaji wa Ensemble	Ufanyaji Maamuzi
Familia	Machine learning	MCDM
Mwaka wa asili	1968	1951
Mwanzilishi	Arthur Dempster	Arrow, K. J.
Aina	belief fusion	Social choice — weighted positional voting rule
Chanzo asilia	Dempster, A. P. (1968). A generalization of Bayesian inference. Journal of the Royal Statistical Society, 30(2), 205-247.	Arrow, K. J. (1951). Social Choice and Individual Values. Wiley, New York
Majina mbadala	belief function fusion, evidence combination	—
Zinazohusiana	2	0
Muhtasari	Dempster-Shafer fusion is an ensemble method based on evidence theory (belief functions) that combines predictions from multiple sources by assigning basic probability masses to subsets of hypotheses. Rather than requiring a probability distribution over single outcomes, it allows uncertainty over sets of outcomes, providing a richer representation of confidence and doubt. Developed by Dempster (1968) and formalized by Shafer (1976), this method is particularly useful when sources are unreliable, conflicting, or provide partial evidence.	WEIGHTED-VOTING (Weighted Voting — Weighted positional aggregation of multiple rankings) is a ranking multi-criteria decision-making (MCDM) method introduced by Arrow, K. J. in 1951. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.