D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 56 Citations 9,282 196 World Ranking 2025 National Ranking 191

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Algebra

Peide Liu mostly deals with Operator, Group decision-making, Multiple attribute, Mathematical optimization and Heronian mean. A majority of his Operator research is a blend of other scientific areas, such as Discrete mathematics, Monotonic function, Fuzzy logic, Operational laws and Fuzzy set. His Group decision-making research covers fields of interest such as Rule-based machine translation, Intuitionistic fuzzy, Real number, Score and Algorithm.

His work in Multiple attribute tackles topics such as Theoretical computer science which are related to areas like Maclaurin symmetric mean. His Mathematical optimization study combines topics from a wide range of disciplines, such as Data mining and Grey relational analysis. In his research, Zero is intimately related to Function, which falls under the overarching field of Heronian mean.

His most cited work include:

  • Some Hamacher Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers and Their Application to Group Decision Making (256 citations)
  • Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making (251 citations)
  • Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making (228 citations)

What are the main themes of his work throughout his whole career to date?

Peide Liu mainly investigates Operator, Group decision-making, Fuzzy logic, Multiple attribute and Mathematical optimization. You can notice a mix of various disciplines of study, such as Rule-based machine translation, Computational intelligence, Algebra, Group and Power, in his Operator studies. Group decision-making is integrated with Intuitionistic fuzzy, Heronian mean, Artificial intelligence, Bonferroni mean and Monotonic function in his study.

His Fuzzy set and Fuzzy number study, which is part of a larger body of work in Fuzzy logic, is frequently linked to Generalization, bridging the gap between disciplines. His Multiple attribute research is multidisciplinary, relying on both Discrete mathematics, Maclaurin symmetric mean and Operational laws. His work deals with themes such as Aggregate and Score, which intersect with Mathematical optimization.

He most often published in these fields:

  • Operator (48.97%)
  • Group decision-making (44.86%)
  • Fuzzy logic (32.88%)

What were the highlights of his more recent work (between 2019-2021)?

  • Fuzzy logic (32.88%)
  • Operator (48.97%)
  • Mathematical optimization (24.32%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Fuzzy logic, Operator, Mathematical optimization, Group decision-making and Artificial intelligence. His Fuzzy logic research integrates issues from Context and Theoretical computer science. Among his Operator studies, you can observe a synthesis of other disciplines of science such as Computational intelligence, Algebra, Degree, Rule-based machine translation and Power.

His biological study deals with issues like Pairwise comparison, which deal with fields such as ELECTRE. His research integrates issues of Machine learning and Pattern recognition in his study of Artificial intelligence. The study incorporates disciplines such as Maclaurin symmetric mean and Extension in addition to Multiple attribute.

Between 2019 and 2021, his most popular works were:

  • Multiple-Attribute Group Decision-Making Based on q-Rung Orthopair Fuzzy Power Maclaurin Symmetric Mean Operators (101 citations)
  • Multiattribute group decision making based on intuitionistic fuzzy partitioned Maclaurin symmetric mean operators (35 citations)
  • Multiple attribute decision making based on q-rung orthopair fuzzy generalized Maclaurin symmetic mean operators (29 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Algebra

His primary areas of investigation include Fuzzy logic, Operator, Group decision-making, Artificial intelligence and Algebra. Fuzzy number, Fuzzy set, Multiple attribute and Choquet integral are subfields of Fuzzy logic in which his conducts study. His study focuses on the intersection of Fuzzy set and fields such as Mathematical optimization with connections in the field of Adaptive learning.

His Operator research overlaps with Power, Maclaurin symmetric mean and Group. His Group decision-making investigation overlaps with other areas such as Computational intelligence and Bonferroni mean. His study in the field of Order also crosses realms of Measure.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Peide Liu.
IEEE Transactions on Fuzzy Systems (2014)

318 Citations

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

Peide Liu;Peng Wang.
International Journal of Intelligent Systems (2018)

306 Citations

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

Peide Liu;Fang Jin.
Information Sciences (2012)

304 Citations

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

Peide Liu;Yumei Wang.
Neural Computing and Applications (2014)

284 Citations

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.
Knowledge Based Systems (2011)

220 Citations

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

Peide Liu;Shyi-Ming Chen;Junlin Liu.
Information Sciences (2017)

219 Citations

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

Peide Liu;Shyi-Ming Chen.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

212 Citations

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

Peide Liu;Xin Zhang.
International Journal of Production Research (2011)

208 Citations

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

Peide Liu;Junlin Liu.
International Journal of Intelligent Systems (2018)

204 Citations

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

Peide Liu.
Applied Mathematical Modelling (2013)

191 Citations

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Best Scientists Citing Peide Liu

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Jianqiang Wang

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Muhammad Akram

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Xiaohong Chen

Xiaohong Chen

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José M. Merigó

José M. Merigó

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Hu-Chen Liu

Hu-Chen Liu

Tongji University

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Huchang Liao

Huchang Liao

Sichuan University

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Ting-Yu Chen

Ting-Yu Chen

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