Results 11 to 20 of about 1,424,410 (317)
Belief functions on lattices [PDF]
We extend the notion of belief function to the case where the underlying structure is no more the Boolean lattice of subsets of some universal set, but any lattice, which we will endow with a minimal set of properties according to our needs. We show that
Grabisch, Michel
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Hidden Conflicts of Belief Functions
In this paper, hidden conflicts of belief functions are observed in the case where the sum of all multiples of the conflicting belief masses equals zero.
Milan Daniel, Václav Kratochvíl
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An elementary belief function logic [PDF]
Non-additive uncertainty theories, typically possibility theory, belief functions and imprecise probabilities share a common feature with modal logic: the duality properties between possibility and necessity measures, belief and plausibility functions as well as between upper and lower probabilities extend the duality between possibility and necessity ...
Didier Dubois +2 more
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As well-known machine learning methods, decision trees are widely applied in classification and recognition areas. In this paper, with the uncertainty of labels handled by belief functions, a new decision tree method based on belief entropy is proposed ...
Kangkai Gao, Yong Wang, Liyao Ma
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Feature Selection for Interval-Valued Data Based on D-S Evidence Theory
Feature selection is one basic and critical technology for data mining, especially in current “big data era”. Rough set theory (RST) is sensitive to noise in feature selection due to the strict condition of equivalence relation.
Yichun Peng, Qinli Zhang
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Credal Transfer Learning With Multi-Estimation for Missing Data
Transfer learning (TL) has grown popular in recent years. It is effective to improve the classification accuracy in the target domain by using the training knowledge in the related domain (called source domain).
Zongfang Ma +4 more
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Pignistic Belief Transform: A New Method of Conflict Measurement
To measure conflict between two basic probability assignment functions plays the key role of conflict management in Dempster-shafer evidence theory. In this paper, a new conflict measure is proposed.
Qixuan Cai, Xiaozhuan Gao, Yong Deng
doaj +1 more source
A Reliability-Based Multisensor Data Fusion with Application in Target Classification
The theory of belief functions has been extensively utilized in many practical applications involving decision making. One such application is the classification of target based on the pieces of information extracted from the individual attributes ...
Gabriel Awogbami, Abdollah Homaifar
doaj +1 more source
A New Evaluation Methodology for Quality Goals Extended by D Number Theory and FAHP
Evaluation of quality goals is an important issue in process management, which essentially is a multi-attribute decision-making (MADM) problem. The process of assessment inevitably involves uncertain information. The two crucial points in an MADM problem
Hongming Mo
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Hierarchical Evidence and Belief Functions [PDF]
Dempster/Shafer (D/S) theory has been advocated as a way of representing incompleteness of evidence in a system's knowledge base. Methods now exist for propagating beliefs through chains of inference. This paper discusses how rules with attached beliefs, a common representation for knowledge in automated reasoning systems, can be transformed into the ...
Paul Black, Kathryn Blackmond Laskey
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