- Home
- Best Scientists - Engineering and Technology
- Baoding Liu

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

Engineering and Technology
D-index
54
Citations
14,745
87
World Ranking
1111
National Ranking
119

- Statistics
- Mathematical analysis
- Mathematical optimization

His primary scientific interests are in Uncertainty theory, Mathematical optimization, Mathematical economics, Fuzzy classification and Fuzzy number. His studies in Uncertainty theory integrate themes in fields like Stochastic differential equation, Uncertainty analysis, Axiom and Differential equation. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Portfolio optimization, Portfolio and Fuzzy logic.

His Mathematical economics research integrates issues from Credibility theory, Credibility and Subadditivity. Baoding Liu has researched Fuzzy classification in several fields, including Fuzzy set operations, Random function and Multivariate random variable. His biological study deals with issues like Defuzzification, which deal with fields such as Fuzzy transportation, Fuzzy mathematics and Fuzzy measure theory.

- Expected value of fuzzy variable and fuzzy expected value models (1469 citations)
- Uncertainty Theory (1068 citations)
- Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty (729 citations)

Baoding Liu spends much of his time researching Mathematical optimization, Fuzzy logic, Fuzzy number, Fuzzy set operations and Uncertainty theory. His Genetic algorithm, Stochastic programming and Goal programming study in the realm of Mathematical optimization interacts with subjects such as Reactive programming and Inductive programming. His Fuzzy logic study incorporates themes from Discrete mathematics, Algorithm and Expected value.

His studies examine the connections between Fuzzy number and genetics, as well as such issues in Multivariate random variable, with regards to Random function and Random element. His study brings together the fields of Fuzzy classification and Fuzzy set operations. The Uncertainty theory study combines topics in areas such as Axiom, Uncertainty analysis and Mathematical economics.

- Mathematical optimization (48.98%)
- Fuzzy logic (37.41%)
- Fuzzy number (26.53%)

- Uncertainty theory (19.05%)
- Mathematical economics (11.56%)
- Mathematical optimization (48.98%)

His scientific interests lie mostly in Uncertainty theory, Mathematical economics, Mathematical optimization, Computational intelligence and Applied mathematics. His Uncertainty theory research incorporates elements of Uncertainty analysis, Series and Process. His Uncertainty analysis research includes elements of Product measure, Axiom, Monotonic function and Subadditivity.

His research investigates the connection between Mathematical economics and topics such as Discrete mathematics that intersect with issues in Membership function, Key and Fuzzy logic. Borrowing concepts from Production control, he weaves in ideas under Mathematical optimization. His Applied mathematics study combines topics from a wide range of disciplines, such as Estimation theory, Method of moments and Differential equation.

- Toward uncertain finance theory (164 citations)
- Extreme value theorems of uncertain process with application to insurance risk model (82 citations)
- Uncertain Multiobjective Programming and Uncertain Goal Programming (66 citations)

- Statistics
- Mathematical analysis
- Mathematical optimization

The scientist’s investigation covers issues in Uncertainty theory, Mathematical optimization, Process, Regression analysis and Statistics. His Uncertainty theory study integrates concerns from other disciplines, such as Genetic algorithm, Mathematical economics, Hierarchical control system, Sequence and Series. His Mathematical economics research incorporates themes from Stochastic differential equation, Financial market and Extreme value theory.

His research in Mathematical optimization intersects with topics in Control and Product. The study incorporates disciplines such as Computational intelligence and Differential equation in addition to Process. The concepts of his Regression analysis study are interwoven with issues in Residual and Confidence interval.

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.

Uncertainty Theory

Baoding Liu.

**(2007)**

3321 Citations

Expected value of fuzzy variable and fuzzy expected value models

Baoding Liu;Yian-Kui Liu.

IEEE Transactions on Fuzzy Systems **(2002)**

2198 Citations

Theory and practice of uncertain programming

Baoding Liu.

**(2003)**

1198 Citations

Some Research Problems in Uncertainty Theory

Baoding Liu.

**(2009)**

1149 Citations

Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty

Baoding Liu.

**(2011)**

1139 Citations

Uncertainty Theory: An Introduction to its Axiomatic Foundations

Baoding Liu.

**(2004)**

868 Citations

Chance constrained programming with fuzzy parameters

Baoding Liu;Kakuzo Iwamura.

Fuzzy Sets and Systems **(1998)**

809 Citations

Fuzzy Process, Hybrid Process and Uncertain Process

Baoding Liu.

**(2008)**

767 Citations

A survey of credibility theory

Baoding Liu.

Fuzzy Optimization and Decision Making **(2006)**

542 Citations

Why is There a Need for Uncertainty Theory

Baoding Liu.

**(2012)**

425 Citations

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

Contact us

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:

Fuzzy Logic Systems Institute

City University of Hong Kong

Chinese Academy of Sciences

Pusan National University

National Tsing Hua University

Polytechnic University of Milan

Facebook (United States)

University of Southern California

Tel Aviv University

Leibniz Institute for Solid State and Materials Research

Tampere University

University of Tokushima

Imperial College London

University of Poitiers

RAND Corporation

Centre national de la recherche scientifique, CNRS

Concordia University

University of Alberta

Columbia University

Institut Gustave Roussy

Australian National University

Something went wrong. Please try again later.