World's Best Scientists 2026 revealed!

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Computer Science

D-Index
56
Citations
12476
World Ranking
4079
National Ranking
247

Overview

Dong-Ling Xu is affiliated with the University of Manchester in the United Kingdom. Their scholarly contributions span multiple areas within computer science and engineering, focusing on artificial intelligence, decision-making methodologies, and applications in healthcare and engineering systems.

The primary fields of study for Dong-Ling Xu include:

  • Computer Science
  • Engineering

Within these fields, their research covers several subfields such as:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Mechanical Engineering
  • Emergency Medicine
  • Computational Theory and Mathematics

Their work addresses key topics including:

  • Multi-Criteria Decision Making
  • Bayesian Modeling and Causal Inference
  • Rough Sets and Fuzzy Logic
  • Trauma and Emergency Care Studies
  • Lubricants and Their Additives
  • Tribology and Lubrication Engineering
  • Explainable Artificial Intelligence (XAI)

Dong-Ling Xu has published extensively in several academic venues, with frequent publications appearing in:

  • Developments of Artificial Intelligence Technologies in Computation and Robotics
  • Applied Soft Computing
  • Expert Systems with Applications
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Knowledge-Based Systems

Examples of notable published papers include:

  • Evidential reasoning for preprocessing uncertain categorical data for trustworthy decisions: An application on healthcare and finance, 2021, Expert Systems with Applications
  • Evidential Reasoning Rule-Based Decision Support System for Predicting ICU Admission and In-Hospital Death of Trauma, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • An evidential reasoning approach based on risk attitude and criterion reliability, 2020, Knowledge-Based Systems
  • Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum, 2023, Friction
  • An evidential reasoning rule based feature selection for improving trauma outcome prediction, 2021, Applied Soft Computing

Collaborative work is another significant aspect of Dong-Ling Xu's research. Frequent coauthors include:

  • Jianbo Yang
  • Jian-Bo Yang
  • Swati Sachan
  • Fatima Almaghrabi
  • Chao Fu

Best Publications

  • On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty

    Jian-Bo Yang;Dong-Ling Xu

  • Evidential reasoning rule for evidence combination

    Jian-Bo Yang;Dong-Ling Xu

  • Environmental impact assessment using the evidential reasoning approach

    Ying Ming Wang;Ying Ming Wang;Jian Bo Yang;Dong Ling Xu

  • On the centroids of fuzzy numbers

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu;Kwai-Sang Chin

  • The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties

    Jian-Bo Yang;Jian-Bo Yang;Y. M. Wang;Y. M. Wang;Dong-Ling Xu;Kwai-Sang Chin

  • A two-stage logarithmic goal programming method for generating weights from interval comparison matrices

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • Inference and learning methodology of belief-rule-based expert system for pipeline leak detection

    Dong Ling Xu;Jun Liu;Jian Bo Yang;Guo Ping Liu;Guo Ping Liu;Guo Ping Liu

  • The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees

    Ying Ming Wang;Ying Ming Wang;Ying Ming Wang;Jian Bo Yang;Dong Ling Xu;Kwai Sang Chin

  • A preference aggregation method through the estimation of utility intervals

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • Optimization Models for Training Belief-Rule-Based Systems

    Jian-Bo Yang;Jun Liu;Dong-Ling Xu;Jin Wang

  • The evidential reasoning approach for multi-attribute decision analysis under interval uncertainty

    Dong Ling Xu;Jian Bo Yang;Ying Ming Wang

  • Nonlinear information aggregation via evidential reasoning in multiattribute decision analysis under uncertainty

    Jian-Bo Yang;Dong-Ling Xu

  • A methodology to model causal relationships on offshore safety assessment focusing on human and organizational factors.

    Jianhua Ren;I. Jenkinson;Jiangping Wang;D. L. Xu

  • Interval weight generation approaches based on consistency test and interval comparison matrices

    Ying-Ming Wang;Jian-Bo Yang;Dong-Ling Xu

  • Clinical Decision Support Systems: A Review on Knowledge Representation and Inference Under Uncertainties

    Guilan Kong;Dong Ling Xu;Jian Bo Yang

  • An Offshore Risk Analysis Method Using Fuzzy Bayesian Network

    J. Ren;I. Jenkinson;J. Wang;D. L. Xu

  • Data classification using evidence reasoning rule

    Xiaobin Xu;Jin Zheng;Jian-bo Yang;Dong-ling Xu

  • Circuit Tolerance Design Using Belief Rule Base

    Xiao-Bin Xu;Zheng Liu;Yu-Wang Chen;Dong-Ling Xu

  • A model for real-time failure prognosis based on hidden Markov model and belief rule base

    Zhi Jie Zhou;Zhi Jie Zhou;Chang Hua Hu;Dong Ling Xu;Mao Yin Chen

  • A Belief Rule-Based Expert System for Fault Diagnosis of Marine Diesel Engines

    Xiaojian Xu;Xinping Yan;Chenxing Sheng;Chengqing Yuan

  • A belief rule-based decision support system for clinical risk assessment of cardiac chest pain

    Guilan Kong;Dong Ling Xu;Richard Body;Jian Bo Yang

Frequent Co-Authors

Jian-Bo Yang
Jian-Bo Yang University of Manchester
Ying-Ming Wang
Ying-Ming Wang Fuzhou University
Kwai-Sang Chin
Kwai-Sang Chin City University of Hong Kong
Huchang Liao
Huchang Liao Sichuan University
José M. Merigó
José M. Merigó University of Technology Sydney
Guo-Ping Liu
Guo-Ping Liu Southern University of Science and Technology
Donghua Zhou
Donghua Zhou Shandong University of Science and Technology
Jin Wang
Jin Wang Liverpool John Moores University
Francisco Herrera
Francisco Herrera University of Granada
Zeshui Xu
Zeshui Xu Sichuan University

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