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 …
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 …
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 …
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 …
capable of expressing and handling the uncertainty under uncertain environments, so that it …
Information fractal dimension of mass function
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 …
modeling a fractal is the fractal dimension. Existing information dimension can calculate the …
A multi-tier sustainable food supplier selection model under uncertainty
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 …
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
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 …
method for dealing with uncertainty. In evidence theory, Dempster's rule is the most well …
Multi-criteria decision making in Pythagorean fuzzy environment
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 …
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
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) …
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
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 …
the priorities in health. An increase in the number of the health services provided leads to an …