New evidential reasoning rule with both weight and reliability for evidence combination

YW Du, YM Wang, M Qin - Computers & Industrial Engineering, 2018 - Elsevier
Two aspects of problems such as weight over-bounding and reliability-dependence cannot
be well solved in the evidential reasoning (ER) approach with both weight and reliability. In …

Evidence combination rule with contrary support in the evidential reasoning approach

YW Du, YM Wang - Expert Systems with Applications, 2017 - Elsevier
Three aspects of problems such as reasonable weight constraint, cumulative weight effect
and relative weight equivalence cannot be well reflected in the evidential reasoning (ER) …

Generalized combination rule for evidential reasoning approach and Dempster–Shafer theory of evidence

YW Du, JJ Zhong - Information Sciences, 2021 - Elsevier
Abstract The Dempster–Shafer (DS) theory of evidence can combine evidence with one
parameter. The evidential reasoning (ER) approach is an extension of DS theory that can …

A new evidential reasoning rule with continuous probability distribution of reliability

J Wang, ZJ Zhou, CH Hu, SW Tang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Evidential reasoning (ER) rule has been widely used in dealing with uncertainty. As an
important parameter to measure the inherent property of evidence, the evidence reliability …

An evidential reasoning approach based on risk attitude and criterion reliability

C Fu, M Xue, W Chang, D Xu, S Yang - Knowledge-Based Systems, 2020 - Elsevier
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 …

[HTML][HTML] Evidential reasoning rule for evidence combination

JB Yang, DL Xu - Artificial Intelligence, 2013 - Elsevier
This paper aims to establish a unique Evidential Reasoning (ER) rule to combine multiple
pieces of independent evidence conjunctively with weights and reliabilities. The novel …

Gini coefficient-based evidential reasoning approach with unknown evidence weights

XX Zhang, YM Wang, SQ Chen, JF Chu… - Computers & Industrial …, 2018 - Elsevier
The determination of evidence weights is an important step in evidence combination, which
significantly influences final results. Taking into account the assumption of “psychology of …

Combining sources of evidence with reliability and importance for decision making

L Jiao, Q Pan, Y Liang, X Feng, F Yang - Central European Journal of …, 2016 - Springer
The combination of sources of evidence with reliability has been widely studied within the
framework of Dempster-Shafer theory (DST), which has been employed as a major method …

An evidential reasoning rule considering parameter uncertainty

J Wang, ZJ Zhou, CH Hu, XX Han… - … on Aerospace and …, 2021 - ieeexplore.ieee.org
This article aims to propose an evidential reasoning (ER) rule considering the parameter
uncertainty. As the essential parameters, the evidence weight and reliability make the ER …

[HTML][HTML] On the evidential reasoning rule for dependent evidence combination

P Zhang, Z Zhijie, T Shuaiwen, W Jie… - Chinese Journal of …, 2023 - Elsevier
Evidential Reasoning (ER) rule, which can combine multiple pieces of independent
evidence conjunctively, is widely applied in multiple attribute decision analysis. However …