World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
23724
World Ranking
783
National Ranking
118

Overview

Peide Liu is affiliated with Shandong University of Finance and Economics in China. Their research spans several interconnected fields primarily within decision sciences and computer science.

The core research interests of Peide Liu focus on multi-criteria decision making, optimization and mathematical programming, and rough sets and fuzzy logic. Additional topics covered include fuzzy systems and optimization, sustainable supply chain management, cognitive science and mapping, and soil and land suitability analysis.

The scientist's publication record features frequent contributions to several academic journals, notably:

  • Information Sciences
  • International Journal of Fuzzy Systems
  • Journal of Intelligent & Fuzzy Systems
  • Complex & Intelligent Systems
  • International Journal of Computational Intelligence Systems

Peide Liu's recent papers demonstrate engagement with diverse aspects of decision making, fuzzy systems, and financial applications. Notable recent publications include:

  • "Transformer-based attention network for stock movement prediction", 2022, Expert Systems with Applications
  • "A Novel Three-Way Decision Model Based on Utility Theory in Incomplete Fuzzy Decision Systems", 2021, IEEE Transactions on Fuzzy Systems
  • "A multiple attribute decision making three-way model for intuitionistic fuzzy numbers", 2020, International Journal of Approximate Reasoning
  • "Opinion Dynamics and Minimum Adjustment-Driven Consensus Model for Multi-Criteria Large-Scale Group Decision Making Under a Novel Social Trust Propagation Mechanism", 2022, IEEE Transactions on Fuzzy Systems
  • "ESG and financial performance: A qualitative comparative analysis in China's new energy companies", 2022, Journal of Cleaner Production

The scientist has collaborated frequently with other researchers, with the most frequent coauthors being Peng Wang, Zhengmin Liu, Zeeshan Ali, Tahir Mahmood, and Baoying Zhu. This demonstrates a broad network of cooperation in their research domain.

Peide Liu's work is strongly situated at the intersection of management science, operations research, and artificial intelligence, with a significant number of publications also connecting to control and systems engineering, computational theory and mathematics, and statistical and nonlinear physics. Their research output comprises a substantial body of work across:

  • Management Science and Operations Research
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Statistical and Nonlinear Physics

Best Publications

  • Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making

    Peide Liu;Peng Wang

  • Some Hamacher Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers and Their Application to Group Decision Making

    Peide Liu

  • Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean

    Peide Liu;Yumei Wang

  • Some q-Rung Orthopai Fuzzy Bonferroni Mean Operators and Their Application to Multi-Attribute Group Decision Making

    Peide Liu;Junlin Liu

  • Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q -Rung Orthopair Fuzzy Numbers

    Peide Liu;Peng Wang

  • Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making

    Peide Liu;Fang Jin

  • A novel three-way decision model under multiple-criteria environment

    Fan Jia;Peide Liu

  • Group Decision Making Based on Heronian Aggregation Operators of Intuitionistic Fuzzy Numbers

    Peide Liu;Shyi-Ming Chen

  • Probabilistic linguistic TODIM method for selecting products through online product reviews

    Peide Liu;Fei Teng

  • Some intuitionistic fuzzy Dombi Bonferroni mean operators and their application to multi-attribute group decision making

    Peide Liu;Junlin Liu;Shyi-Ming Chen

  • Multiple-Attribute Group Decision-Making Based on q-Rung Orthopair Fuzzy Power Maclaurin Symmetric Mean Operators

    Peide Liu;Shyi-Ming Chen;Peng Wang

  • Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables

    Peide Liu;Fang Jin;Xin Zhang;Yu Su

  • Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method

    Peide Liu;Xin Zhang

  • Multiple attribute group decision making method based on interval-valued intuitionistic fuzzy power Heronian aggregation operators

    Peide Liu

  • Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi-attribute group decision making

    Peide Liu;Junlin Liu;José M. Merigó;José M. Merigó

  • A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number

    Xin Zhang;Fang Jin;Peide Liu

  • Some Generalized Neutrosophic Number Hamacher Aggregation Operators and Their Application to Group Decision Making

    Peide Liu;Yanchang Chu;Yanwei Li;Yubao Chen

  • Some geometric aggregation operators based on interval intuitionistic uncertain linguistic variables and their application to group decision making

    Peide Liu

  • The generalized hybrid weighted average operator based on interval neutrosophic hesitant set and its application to multiple attribute decision making

    Peide Liu;Lanlan Shi

  • Multiple attribute group decision making based on intuitionistic fuzzy interaction partitioned Bonferroni mean operators

    Peide Liu;Shyi-Ming Chen;Junlin Liu

  • An Extended TOPSIS Method for the Multiple Attribute Decision Making Problems Based on Interval Neutrosophic Set

    Pingping Chi;Peide Liu

Frequent Co-Authors

Tahir Mahmood
Tahir Mahmood International Islamic University, Islamabad
Shyi-Ming Chen
Shyi-Ming Chen Asia University Taiwan
Francisco Chiclana
Francisco Chiclana De Montfort University
Muhammad Akram
Muhammad Akram University of the Punjab
José M. Merigó
José M. Merigó University of Technology Sydney
Witold Pedrycz
Witold Pedrycz University of Alberta
Florentin Smarandache
Florentin Smarandache University of New Mexico
Junqing Li
Junqing Li Liaocheng University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a wide range of online degree options and career opportunities. Many students consider pursuing an accelerated computer science degree to fast-track their journey into the tech industry. These programs are designed for motivated learners who want to complete their studies faster and enter the workforce sooner.

Interdisciplinary pathways are also gaining popularity. For example, those interested in sustainability might take an environmental science degree, which can lead to careers in areas like data analysis, research, and environmental technology.

Engineering fields benefit from a solid computer science foundation, too. Students can expand their expertise with an online environmental engineering degree science and engineering or consider a online mechanical engineering degree. These programs are ideal for learners seeking flexible, affordable routes to combine technical and problem-solving skills.

Choosing the right online degree can make a significant impact on your future career options and personal growth. Carefully compare program features, specializations, and costs to find the best fit for your goals.

Best Scientists Citing Peide Liu

Trending Scientists

Recently Published Articles