Search Results for author:
Found 13 papers, 0 papers with code
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning
Most semi-supervised few-shot learning methods select pseudo-labeled data of unlabeled set by task-specific confidence estimation.
Basic concepts, definitions, and methods in D number theory
As a generalization of Dempster-Shafer theory, D number theory (DNT) aims to provide a framework to deal with uncertain information with non-exclusiveness and incompleteness.
Belief and plausibility measures for D numbers
As a generalization of Dempster-Shafer theory, D number theory provides a framework to deal with uncertain information with non-exclusiveness and incompleteness.
On the negation of a Dempster-Shafer belief structure based on maximum uncertainty allocation
Probability theory and Dempster-Shafer theory are two germane theories to represent and handle uncertain information.
A total uncertainty measure for D numbers based on belief intervals
As a generalization of Dempster-Shafer theory, the theory of D numbers is a new theoretical framework for uncertainty reasoning.
D numbers theory based game-theoretic framework in adversarial decision making under fuzzy environment
Within the proposed framework or model, fuzzy set theory is used to model the uncertain evaluations of decision makers to alternatives, the non-exclusiveness among fuzzy evaluations are taken into consideration by using DNT, and the conflict of interests among decision makers is considered in a two-person non-constant sum game theory perspective.
Exploring the Combination Rules of D Numbers From a Perspective of Conflict Redistribution
Dempster-Shafer theory of evidence is widely applied to uncertainty modelling and knowledge reasoning because of its advantages in dealing with uncertain information.
Transformation of basic probability assignments to probabilities based on a new entropy measure
In that theory, basic probability assignment (BPA) is the basic element for the expression and inference of uncertainty.
Distance function of D numbers
A distance function of D numbers is proposed to measure the distance between two D numbers.
D-CFPR: D numbers extended consistent fuzzy preference relations
How to express an expert's or a decision maker's preference for alternatives is an open issue.
Parameter estimation based on interval-valued belief structures
Parameter estimation based on uncertain data represented as belief structures is one of the latest problems in the Dempster-Shafer theory.
D numbers theory: a generalization of Dempster-Shafer theory
Dempster-Shafer theory is widely applied to uncertainty modelling and knowledge reasoning due to its ability of expressing uncertain information.
A short note on the axiomatic requirements of uncertainty measure
In this note, we argue that the axiomatic requirement of range to the measure of aggregated total uncertainty (ATU) in Dempster-Shafer theory is not reasonable.
