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 …
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 classification method based on the negation of a basic probability assignment in the evidence theory
In the practical application of classification, how to handle uncertain information for efficient
classification is a hot topic. In this paper, in the frame of Dempster–Shafer evidence theory, a …
classification is a hot topic. In this paper, in the frame of Dempster–Shafer evidence theory, a …
Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning
CY Ng, KMY Law - Computers & Industrial Engineering, 2020 - Elsevier
The rapid growth of e-commerce and social networking sites has created various challenges
for the extraction of user-generated content (UGC). In the era of big data, customer opinions …
for the extraction of user-generated content (UGC). In the era of big data, customer opinions …
An evidential reasoning approach based on risk attitude and criterion reliability
In the evidential reasoning (ER) approach, in addition to the weight of a criterion, reliability is
another important concept in connection with the criterion although it attracts little attention …
another important concept in connection with the criterion although it attracts little attention …
Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations
Belief distribution (BD) is a scheme of representing qualitative information with subjective
uncertainty and imprecision. Distributed preference relation (DPR) extends BDs to the form …
uncertainty and imprecision. Distributed preference relation (DPR) extends BDs to the form …
A new belief entropy measure in the weighted combination rule under DST with faulty diagnosis and real-life medical application
P Dutta, S Shome - International Journal of Machine Learning and …, 2023 - Springer
Abstract In Dempster-Shafer's theory (also called DST or evidence theory or theory of belief
function), conflict management is a well-known issue in information fusion. The paper …
function), conflict management is a well-known issue in information fusion. The paper …
Comparison of evidential reasoning algorithm with linear combination in decision making
C Fu, B Hou, W Chang, N Feng, S Yang - International Journal of Fuzzy …, 2020 - Springer
Evidential reasoning (ER) approach is a representative method for analyzing uncertain multi-
criteria decision-making (MCDM) and multi-criteria group decision-making (MCGDM) …
criteria decision-making (MCDM) and multi-criteria group decision-making (MCGDM) …
Information fusion based on reputation and payoff promotes cooperation in spatial public goods game
Reputation information plays an important role in human behavioral interactions. There have
been many studies that have considered reputation in spatial public goods game models …
been many studies that have considered reputation in spatial public goods game models …
Safety assessment of dynamic systems: An evidential group interaction-based fusion design
Considering the inherent unknown risks in the operation of complex dynamic system, it is
very important to assess its safety accurately. Within the framework of human-in-the-loop, we …
very important to assess its safety accurately. Within the framework of human-in-the-loop, we …