Defining urban soil geochemical backgrounds: A review for application to the French context

S Belbèze, J Rohmer, P Négrel, D Guyonnet - Journal of Geochemical …, 2023 - Elsevier
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 …

Combination of classifiers with optimal weight based on evidential reasoning

ZG Liu, Q Pan, J Dezert, A Martin - IEEE Transactions on Fuzzy …, 2017 - ieeexplore.ieee.org
In pattern classification problem, different classifiers learnt using different training data can
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 …

[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 …

Representations of uncertainty in artificial intelligence: Probability and possibility

T Denœux, D Dubois, H Prade - A Guided Tour of Artificial Intelligence …, 2020 - Springer
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 …

[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 …

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 …

BPEC: Belief-peaks evidential clustering

Z Su, T Denoeux - IEEE Transactions on Fuzzy Systems, 2018 - ieeexplore.ieee.org
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 …

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 …

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 …