activity
20162019
most citedUncertainty measurement with belief entropy on interference effect in Quantum-Like Bayesian Networks

90 citations · 163 across the 16 of their papers we have counts for

collaborators

16 papers

cs.AI2019★ 2 cited

On the negation of a Dempster-Shafer belief structure based on maximum uncertainty allocation

Xinyang Deng, Wen Jiang

Probability theory and Dempster-Shafer theory are two germane theories to represent and handle uncertain information. Recent study suggested a transformation to obtain the negation…

cs.SI2018★ 59 cited

Identifying influential nodes based on fuzzy local dimension in complex networks

Tao Wen, Wen Jiang

How to identify influential nodes in complex networks is an important aspect in the study of complex network. In this paper, a novel fuzzy local dimension (FLD) is proposed to rank…

cs.AI2017★ 1 cited

A total uncertainty measure for D numbers based on belief intervals

Xinyang Deng, Wen Jiang

As a generalization of Dempster-Shafer theory, the theory of D numbers is a new theoretical framework for uncertainty reasoning. Measuring the uncertainty of knowledge or informati…

cs.AI2017★ 1 cited

D numbers theory based game-theoretic framework in adversarial decision making under fuzzy environment

Xinyang Deng, Wen Jiang

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…

cs.AI2017★ 90 cited

Uncertainty measurement with belief entropy on interference effect in Quantum-Like Bayesian Networks

Zhiming Huang, Lin Yang, Wen Jiang

Social dilemmas have been regarded as the essence of evolution game theory, in which the prisoner's dilemma game is the most famous metaphor for the problem of cooperation. Recent…

cs.AI2017★ 1 cited

An evidential Markov decision making model

Zichang He, Wen Jiang

The sure thing principle and the law of total probability are basic laws in classic probability theory. A disjunction fallacy leads to the violation of these two classical laws. In…

cs.AI2017★ 1 cited

A New Medical Diagnosis Method Based on Z-Numbers

Dong Wu, Xiang Liu, Feng Xue +3

How to handle uncertainty in medical diagnosis is an open issue. In this paper, a new decision making methodology based on Z-numbers is presented. Firstly, the experts' opinions ar…

cs.OH2017

Quantum Mechanical Approach to Modelling Reliability of Sensor Reports

Zichang He, Wen Jiang

Dempster-Shafer evidence theory is wildly applied in multi-sensor data fusion. However, lots of uncertainty and interference exist in practical situation, especially in the battle…

cs.AI2017

Exploring the Combination Rules of D Numbers From a Perspective of Conflict Redistribution

Xinyang Deng, Wen Jiang

Dempster-Shafer theory of evidence is widely applied to uncertainty modelling and knowledge reasoning because of its advantages in dealing with uncertain information. But some cond…

cs.AI2017

A quantum dynamic belief model to explain the interference effects of categorization on decision making

Zichang He, Wen Jiang

Categorization is necessary for many decision making tasks. However, the categorization process may interfere the decision making result and the law of total probability can be vio…

cs.AI2017

A quantum dynamic belief decision making model

Zichang He, Wen Jiang

The sure thing principle and the law of total probability are basic laws in classic probability theory. A disjunction fallacy leads to the violation of these two classical probabil…

cs.AI2017★ 1 cited

Evidential supplier selection based on interval data fusion

Zichang He, Wen Jiang

Supplier selection is a typical multi-criteria decision making (MCDM) problem and lots of uncertain information exist inevitably. To address this issue, a new method was proposed b…

cs.AI2017★ 2 cited

A new belief Markov chain model and its application in inventory prediction

Zichang He, Wen Jiang

Markov chain model is widely applied in many fields, especially the field of prediction. The classical Discrete-time Markov chain(DTMC) is a widely used method for prediction. Howe…

cs.ET2017

A Physarum-inspired model for the probit-based stochastic user equilibrium problem

Shuai Xu, Wen Jiang

Stochastic user equilibrium is an important issue in the traffic assignment problems, tradition models for the stochastic user equilibrium problem are designed as mathematical prog…

cs.ET2016

A modified Physarum-inspired model for the user equilibrium traffic assignment problem

Shuai Xu, Wen Jiang, Yehang Shou

The user equilibrium traffic assignment principle is very important in the traffic assignment problem. Mathematical programming models are designed to solve the user equilibrium pr…

cs.AI2016★ 5 cited

A correlation coefficient of belief functions

Wen Jiang

How to manage conflict is still an open issue in Dempster-Shafer evidence theory. The correlation coefficient can be used to measure the similarity of evidence in Dempster-Shafer e…