Qianlei Jia

Information Evolution Models With Random Leader Election Mechanism for Multi-Agent Cooperative Decision-Making

Qianlei Jia, Witold Pedrycz

Linguistic fuzzy information evolution is crucial in understanding information exchange among agents. However, different agent weights may yield varying convergence results in the classic DeGroot model. Similarly, in the Hegselmann-Krause bounded confidence model (HK model), changing the confidence threshold values of agents …

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SpaceDet: A Large-scale Space-based Image Dataset and RSO Detection for Space Situational Awareness

Jiaping Xiao, Rangya Zhang, Yuhang Zhang, Lu Bai et autres

Space situational awareness (SSA) plays an imperative role in maintaining safe space operations, especially given the increasingly congested space traffic around the Earth. Space-based SSA offers a flexible and lightweight solution compared to traditional ground-based SSA. With advanced machine learning approaches, space-based …

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A Group Decision-Making Model Integrating Information Consensus and Polarity

Qianlei Jia, Francisco Javier Cabrerizo, Ignacio Javier Pérez, Enrique Herrera‐Viedma

In opinion dynamics (OODs), the DeGroot and Hegselmann–Krause (HK) bounded confidence models are foundational tools for studying information evolution. However, both models have unavoidable limitations, particularly in group decision-making scenarios. This article proposes a novel OODs model that integrates the strengths of …

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Fuzzy Information Evolution with Three-Way Decision in Social Network Group Decision-Making

Qianlei Jia, Xinliang Zhou, Ondřej Krejcar, Enrique Herrera‐Viedma

In group decision-making (GDM) scenarios, uncertainty, dynamic social structures, and vague information present major challenges for traditional opinion dynamics models. To address these issues, this study proposes a novel social network group decision-making (SNGDM) framework that integrates three-way decision (3WD) theory, dynamic …

Learning Resilient Formation Control of Drones With Graph Attention Network

Jiaping Xiao, Xu Fang, Qianlei Jia, Mir Feroskhan

Multidrone systems offer notable advantages in various missions, such as search and rescue, environmental surveillance, and industrial inspection, providing enhanced efficiency and redundancy over single-drone operations. However, ensuring resilient multidrone formation in dynamic and adversarial environments, such as during communication loss or …

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Multi-UAV Cooperative Decision-Making Under Noisy and Uncertain Environments

Qianlei Jia, Francisco Javier Cabrerizo, Ignacio Javier Pérez, Enrique Herrera‐Viedma

In the process of multi-UAV cooperative decisionmaking, the information evolution model plays a key role in the communication and fusion of information among multiple agents. However, traditional information fusion models, such as the DeGroot model and the Hegselmann-Krause bounded confidence (HK) model …

cn, es (code pays fourni par la source)

Space situational awareness systems: Bridging traditional methods and artificial intelligence

Qianlei Jia, Jiaping Xiao, Lu Bai, Yuhang Zhang et autres

sg (code pays fourni par la source)

A Decision-Making Model with Cloud Model, Z-Numbers, and Interval-Valued Linguistic Neutrosophic Sets

Huakun Chen, Jingping Shi, Yongxi Lyu, Qianlei Jia

Interval-valued linguistic neutrosophic sets (IVLNSs), Z-numbers, and the trapezium cloud model are powerful tools for expressing uncertainty and randomness. This paper aims to combine these methodologies. First, we review relevant concepts and operators, introducing a novel combination of IVLNSs and Z-numbers, which …

cn (code pays fourni par la source)

Linguistic Fuzzy Information Evolution with Random Leader Election Mechanism for Decision-Making Systems

Qianlei Jia, Witold Pedrycz

Linguistic fuzzy information evolution is crucial in understanding information exchange among agents. However, different agent weights may lead to different convergence results in the classic DeGroot model. Similarly, in the Hegselmann-Krause bounded confidence model (HK model), changing the confidence threshold values of …

Learning Resilient Formation Control of Drones with Graph Attention Network

Jiaping Xiao, Qianlei Jia, Mir Feroskhan

The rapid advancement of drone technology has significantly impacted various sectors, including search and rescue, environmental surveillance, and industrial inspection. Multidrone systems offer notable advantages such as enhanced efficiency, scalability, and redundancy over single-drone operations. Despite these benefits, ensuring resilient formation control …

Astro-Det: Resident Space Object Detection for Space Situational Awareness

Yuhang Zhang, Rangya Zhang, Qianlei Jia, Jiaping Xiao et autres

The flourishing space industry has caused a significant increase in space debris, posing a critical risk to high-asset operational spacecraft. A particular challenge is identifying small-sized debris characterized by low reflectivity and rapid motion. Traditional ground-based detection methods, constrained by geographic and …

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Multitarget Assignment Under Uncertain Information Through Decision Support Systems

Qianlei Jia, Jiaping Xiao, Mir Feroskhan

Unmanned aerial vehicles (UAVs) play an important role in advancing fire prevention technology. However, existing research usually assumes that the firefighting equipment carried by UAVs, such as fire extinguishing bombs and water, can significantly satisfy actual requirements. However, in many practical scenarios, …

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