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Zhijiao Du

Biographic Data

ID4975950
NAMEZhijiao Du
GIVEN NAMESZhijiao
FAMILY NAMEDu
SIGNATUREDU Z
AFFILIATIONSSun Yat-sen University
ORCID0000-0001-9309-8809
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Personalized Feedback Constraint-Driven Minimum-Relative-Cost Consensus in Group Decision-Making

    Open Access•Sumin Yu, Jia Xiao et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Minimum-cost consensus (MCC) is an effective technique for reducing differences of opinion in group decision-making that is sensitive to adjustment costs. Classical MCC aims to obtain an optimal solution regarding the consensus reaching process (CRP) with the objective function of minimizing the group adjustment cost. However, the following limitations exist: 1) the absolute adjustment cost is usually employed as the sole criterion, which is susc…

  • How can television dramas stimulate tourists’ impulsive travel intentions? The mediating role of destination brand love

    Jing Wang, Xinbo Yin et al.•ARTICLE•Current Issues in Tourism•2025

    As the key media for destination brand marketing, film and television works can greatly motivate audiences to travel to filming locations. However, how to stimulate this motivation into impulsive travel intention deserves in-depth research. Based on affect transfer theory, this study explores how destination image in television dramas and the celebrity effect promote the formation of tourists’ impulsive travel intention. Taking three popular Chin…

  • Constrained Community Detection and Multistage Multicost Consensus in Social Network Large-Scale Decision-Making

    Zhijiao Du, Sumin Yu et al.

    As a widely encountered decision-making scenario in modern society, social network large-scale decision-making (SNLSDM) is becoming a frontier topic in the field of decision science. Decision information usually includes social relationships among decision-makers (DMs) and individual opinions. This makes clustering and consensus building, which are two important processes for solving SNLSDM problems, significantly complex and requires the integra…

  • Hierarchical Punishment-Driven Consensus Model for Probabilistic Linguistic Large-Group Decision Making with Application to Global Supplier Selection

    Sumin Yu, Zhijiao Du et al.

No prominent works on this page.

  • Personalized Feedback Constraint-Driven Minimum-Relative-Cost Consensus in Group Decision-Making

    Open Access•Sumin Yu, Jia Xiao et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Minimum-cost consensus (MCC) is an effective technique for reducing differences of opinion in group decision-making that is sensitive to adjustment costs. Classical MCC aims to obtain an optimal solution regarding the consensus reaching process (CRP) with the objective function of minimizing the group adjustment cost. However, the following limitations exist: 1) the absolute adjustment cost is usually employed as the sole criterion, which is susc…

  • How can television dramas stimulate tourists’ impulsive travel intentions? The mediating role of destination brand love

    Jing Wang, Xinbo Yin et al.•ARTICLE•Current Issues in Tourism•2025

    As the key media for destination brand marketing, film and television works can greatly motivate audiences to travel to filming locations. However, how to stimulate this motivation into impulsive travel intention deserves in-depth research. Based on affect transfer theory, this study explores how destination image in television dramas and the celebrity effect promote the formation of tourists’ impulsive travel intention. Taking three popular Chin…

  • Constrained Community Detection and Multistage Multicost Consensus in Social Network Large-Scale Decision-Making

    Zhijiao Du, Sumin Yu et al.

    As a widely encountered decision-making scenario in modern society, social network large-scale decision-making (SNLSDM) is becoming a frontier topic in the field of decision science. Decision information usually includes social relationships among decision-makers (DMs) and individual opinions. This makes clustering and consensus building, which are two important processes for solving SNLSDM problems, significantly complex and requires the integra…

  • Hierarchical Punishment-Driven Consensus Model for Probabilistic Linguistic Large-Group Decision Making with Application to Global Supplier Selection

    Sumin Yu, Zhijiao Du et al.

Computer Science (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Cluster analysis (2 works) · Cognitive Science and Mapping (2 works) · Psychology (2 works) · Social Psychology (2 works) · Advertising (1 work) · Complex Network Analysis Techniques (1 work) · Consensus theory (1 work)

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