What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Mathematical optimization
His primary areas of study are Fuzzy logic, Mathematical optimization, Group decision-making, Artificial intelligence and Fuzzy set operations.
He is involved in the study of Fuzzy logic that focuses on Fuzzy number in particular.
The Genetic algorithm and Particle swarm optimization research Jiuping Xu does as part of his general Mathematical optimization study is frequently linked to other disciplines of science, such as Class, therefore creating a link between diverse domains of science.
His Group decision-making research incorporates elements of Data mining, Preference relation, Preference and Selection.
His work deals with themes such as Ranking, Machine learning, Entropy and Decision analysis, which intersect with Artificial intelligence.
Jiuping Xu usually deals with Fuzzy set operations and limits it to topics linked to Fuzzy classification and Cybernetics.
His most cited work include:
- Managing consistency and consensus in group decision making with hesitant fuzzy linguistic preference relations (195 citations)
- A consistency and consensus based decision support model for group decision making with multiplicative preference relations (188 citations)
- Possibility Distribution-Based Approach for MAGDM With Hesitant Fuzzy Linguistic Information (185 citations)
What are the main themes of his work throughout his whole career to date?
Jiuping Xu mainly investigates Fuzzy logic, Mathematical optimization, Operations research, Environmental economics and Particle swarm optimization.
His Fuzzy logic study incorporates themes from Genetic algorithm and Selection.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Fuzzy transportation, Constraint and Sensitivity.
His Operations research study combines topics from a wide range of disciplines, such as Group decision-making and Process.
His research investigates the connection between Environmental economics and topics such as Greenhouse gas that intersect with problems in Electricity generation and Reduction.
The Fuzzy set operations study combines topics in areas such as Defuzzification and Fuzzy classification.
He most often published in these fields:
- Fuzzy logic (28.94%)
- Mathematical optimization (24.18%)
- Operations research (13.55%)
What were the highlights of his more recent work (between 2018-2021)?
- Greenhouse gas (8.79%)
- Environmental economics (11.36%)
- Clinical psychology (10.26%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Greenhouse gas, Environmental economics, Clinical psychology, Process and Depression.
In the field of Clinical psychology, his study on Traumatic stress overlaps with subjects such as Injury prevention and Suicide prevention.
His Process research is multidisciplinary, relying on both Power, Technological paradigm, Group decision-making and Operations research.
He interconnects VIKOR method, Ideal and Machine learning, Cluster analysis, Artificial intelligence in the investigation of issues within Group decision-making.
His research in Heuristic intersects with topics in Particle swarm optimization and Fuzzy logic.
Jiuping Xu has researched Fuzzy logic in several fields, including Sludge and Karush–Kuhn–Tucker conditions.
Between 2018 and 2021, his most popular works were:
- Prevalence and correlates of PTSD and depressive symptoms one month after the outbreak of the COVID-19 epidemic in a sample of home-quarantined Chinese university students. (133 citations)
- Two MAGDM models based on hesitant fuzzy linguistic term sets with possibility distributions: VIKOR and TOPSIS (57 citations)
- Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making (30 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- China
The scientist’s investigation covers issues in Process, Group decision-making, Clinical psychology, Environmental economics and Depression.
His Process research includes elements of Machine learning, Cluster analysis and Artificial intelligence.
His studies deal with areas such as Representation and Fuzzy logic as well as Machine learning.
His Group decision-making research is multidisciplinary, incorporating elements of Algorithm, Waste disposal and Interval.
His research on Depression also deals with topics like
- Feeling which intersects with area such as Logistic regression,
- Mental health and related Young adult, Comorbidity and Psychological intervention.
Jiuping Xu studies Mathematical optimization, focusing on VIKOR method in particular.
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