Defining urban soil geochemical backgrounds: A review for application to the French context
Urban soil is the “memory” of cities, as the sequence of deposited materials originates from
the various stages of a city's life cycle, through a complex process of urban soil …
the various stages of a city's life cycle, through a complex process of urban soil …
Combination of classifiers with optimal weight based on evidential reasoning
In pattern classification problem, different classifiers learnt using different training data can
provide more or less complementary knowledge, and the combination of classifiers is …
provide more or less complementary knowledge, and the combination of classifiers is …
[HTML][HTML] A correlation coefficient for belief functions
W Jiang - International Journal of Approximate Reasoning, 2018 - Elsevier
How to manage conflict is still an open issue in Dempster–Shafer (DS) evidence theory. The
conflict coefficient k in DS evidence theory cannot represent conflict reasonably, especially …
conflict coefficient k in DS evidence theory cannot represent conflict reasonably, especially …
[HTML][HTML] Pseudo-label neighborhood rough set: measures and attribute reductions
X Yang, S Liang, H Yu, S Gao, Y Qian - International journal of approximate …, 2019 - Elsevier
The scale of the radius for constructing neighborhood relation has a great effect on the
results of neighborhood rough sets and corresponding measures. A very small radius …
results of neighborhood rough sets and corresponding measures. A very small radius …
Representations of uncertainty in artificial intelligence: Probability and possibility
Due to its major focus on knowledge representation and reasoning, artificial intelligence was
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …
[HTML][HTML] D number theory based game-theoretic framework in adversarial decision making under a fuzzy environment
X Deng, W Jiang - International Journal of Approximate Reasoning, 2019 - Elsevier
Adversarial decision making is a particular type of decision making problem where the gain
a decision maker obtains as a result of his decisions is affected by the actions taken by …
a decision maker obtains as a result of his decisions is affected by the actions taken by …
Evidential clustering: a review
T Denoeux, O Kanjanatarakul - International symposium on integrated …, 2016 - Springer
In evidential clustering, uncertainty about the assignment of objects to clusters is
represented by Dempster-Shafer mass functions. The resulting clustering structure, called a …
represented by Dempster-Shafer mass functions. The resulting clustering structure, called a …
BPEC: Belief-peaks evidential clustering
This paper introduces a new evidential clustering method based on the notion of “belief
peaks” in the framework of belief functions. The basic idea is that all data objects in the …
peaks” in the framework of belief functions. The basic idea is that all data objects in the …
A new belief entropy to measure uncertainty of basic probability assignments based on belief function and plausibility function
L Pan, Y Deng - Entropy, 2018 - mdpi.com
How to measure the uncertainty of the basic probability assignment (BPA) function is an
open issue in Dempster–Shafer (D–S) theory. The main work of this paper is to propose a …
open issue in Dempster–Shafer (D–S) theory. The main work of this paper is to propose a …
Dependence assessment in human reliability analysis using an evidential network approach extended by belief rules and uncertainty measures
X Deng, W Jiang - Annals of Nuclear Energy, 2018 - Elsevier
Because of the potential relevance among human errors, dependence assessment for
human actions plays a very important role in human reliability analysis. Several typical …
human actions plays a very important role in human reliability analysis. Several typical …