Yefan Han
Dados Biográficos
| ID | 9634182 |
|---|---|
| NOME | Yefan Han |
| PRENOMES | Yefan |
| SOBRENOME | Han |
| ASSINATURA | HAN Y |
| AFILIAÇÕES | University of Shanghai for Science and Technology |
| ORCID | 0000-0002-3736-978X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2022 |
| ÍNDICE H | 0 |
A Robust Minimum-Cost Consensus Model With Uncertain Aggregation Weights Based on Data-Driven Method
Due to the existence of cognitive bias, it is difficult to accurately obtain the decision-makers’ weights in the aggregating process, which leads to great fluctuations in the optimal decision-making. Therefore, the purpose of this article is to establish a data-driven robust cost consensus model induced by uncertain weights to deal with the adverse effects of uncertainty in the aggregating process. First, the probability density function of the u…
New Insights Into the Social Rumor Characteristics During the Covid-19 Pandemic in China
Background: In the early stage of the COVID-19 outbreak in China, several social rumors in the form of false news, conspiracy theories, and magical cures had ever been shared and spread among the general public at an alarming rate, causing public panic and increasing the complexity and difficulty of social management. Therefore, this study aims to reveal the characteristics and the driving factors of the social rumors during the COVID-19 pandemic…
Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization
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Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization
A Robust Minimum-Cost Consensus Model With Uncertain Aggregation Weights Based on Data-Driven Method
Due to the existence of cognitive bias, it is difficult to accurately obtain the decision-makers’ weights in the aggregating process, which leads to great fluctuations in the optimal decision-making. Therefore, the purpose of this article is to establish a data-driven robust cost consensus model induced by uncertain weights to deal with the adverse effects of uncertainty in the aggregating process. First, the probability density function of the u…
New Insights Into the Social Rumor Characteristics During the Covid-19 Pandemic in China
Background: In the early stage of the COVID-19 outbreak in China, several social rumors in the form of false news, conspiracy theories, and magical cures had ever been shared and spread among the general public at an alarming rate, causing public panic and increasing the complexity and difficulty of social management. Therefore, this study aims to reveal the characteristics and the driving factors of the social rumors during the COVID-19 pandemic…
Computer Science (3 obras) · Fuzzy Systems and Optimization (2 obras) · Mathematical optimization (2 obras) · Mathematics (2 obras) · Multi-Criteria Decision Making (2 obras) · Algorithm (1 obras) · Chemistry (1 obras) · China (1 obras) · Climate Change Communication and Perception (1 obras) · Complex Network Analysis Techniques (1 obras)