activity
20172019
most citedIdentifying influential nodes based on fuzzy local dimension in complex networks

59 citations · 67 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI20192 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.SI201859 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.AI20171 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.AI20171 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.AI20171 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

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…