Uncertainty measure in evidence theory

Y Deng - Science China Information Sciences, 2020 - Springer
As an extension of probability theory, evidence theory is able to better handle unknown and
imprecise information. Owing to its advantages, evidence theory has more flexibility and …

A state-of-the-art review on D number (2012-2022): A scientometric analysis

A Sotoudeh-Anvari - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
D number theory is a relatively new uncertainty reasoning approach and its application has
been gaining momentum due to its distinctive features and potential advantages. This theory …

A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion

F Xiao - Information Sciences, 2020 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory is useful for handling uncertainty
problems in multisensor data fusion. However, the question of how to handle highly …

Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis

F Xiao, W Ding - Applied Soft Computing, 2019 - Elsevier
The Pythagorean fuzzy set (PFS) which is an extension of intuitionistic fuzzy set, is more
capable of expressing and handling the uncertainty under uncertain environments, so that it …

Information fractal dimension of mass function

C Qiang, Y Deng, KH Cheong - Fractals, 2022 - World Scientific
Fractals play an important role in nonlinear science. The most important parameter when
modeling a fractal is the fractal dimension. Existing information dimension can calculate the …

A multi-tier sustainable food supplier selection model under uncertainty

M Yazdani, D Pamucar, P Chatterjee… - Operations Management …, 2022 - Springer
Supplier selection in food supply chains (FSCs) is not much explored due to the inherent
difficulties, complexities and nature of food industry. Food security and quality are top row …

Combining conflicting evidence based on Pearson correlation coefficient and weighted graph

J Deng, Y Deng, KH Cheong - International Journal of …, 2021 - Wiley Online Library
Dempster–Shafer evidence theory (evidence theory) has been widely used as an efficient
method for dealing with uncertainty. In evidence theory, Dempster's rule is the most well …

Multi-criteria decision making in Pythagorean fuzzy environment

L Fei, Y Deng - Applied Intelligence, 2020 - Springer
Pythagorean fuzzy set, initially extended by Yager from intuitionistic fuzzy set, is capable of
modeling information with more uncertainties in the process of multi-criteria decision making …

An ELECTRE-based multiple criteria decision making method for supplier selection using Dempster-Shafer theory

L Fei, J Xia, Y Feng, L Liu - IEEE Access, 2019 - ieeexplore.ieee.org
The selection of the optimal supply is an open and crucial issue in supply chain
management (SCM), which can be considered as a multi-criteria decision-making (MCDM) …

A new intelligent MCDM model for HCW management: The integrated BWM–MABAC model based on D numbers

D Pamučar, A Puška, Ž Stević, G Ćirović - Expert Systems with Applications, 2021 - Elsevier
Healthcare waste (HCW) management is a complex and challenging problem. It is one of
the priorities in health. An increase in the number of the health services provided leads to an …