A5100327395- Stochastic processes and financial applications
- Multi-Criteria Decision Making
- Nonlinear Partial Differential Equations
- Limits and Structures in Graph Theory
- Mathematical Dynamics and Fractals
- Economic theories and models
- Finite Group Theory Research
- Stochastic processes and statistical mechanics
- Advanced Bandit Algorithms Research
- Mathematical Biology Tumor Growth
- Advanced Mathematical Physics Problems
- Formal Methods in Verification
- Navier-Stokes equation solutions
- Financial Risk and Volatility Modeling
- Analytic Number Theory Research
- Advanced Optimization Algorithms Research
- Evaluation Methods in Various Fields
- Advanced Graph Theory Research
- Tensor decomposition and applications
- Insurance, Mortality, Demography, Risk Management
- Machine Learning and Algorithms
- Point processes and geometric inequalities
- Rough Sets and Fuzzy Logic
- Graph theory and applications
- Coding theory and cryptography
New York University
2024-2025
Tianjin University of Technology
2025
University of Vienna
2022-2024
China Electric Power Research Institute
2024
University of Michigan
1995-2023
Jiangxi Normal University
2023
Shijiazhuang Tiedao University
2023
Tongliao Academy of Agricultural Sciences
2023
Jiangsu Normal University
2022
Southwest University
2022
On the background of economic globalisation, market competition is no longer between enterprises, but it supply chains. Supplier selection basis chain cooperation, and also key factor to improve competitive power a chain. A novel method, which combines entropy weight an improved ELECTRE-III proposed deal with supplier The research states at home abroad are firstly analysed, on foundation relative literature, indicator systems constructed corresponding objective each based calculated. Then...
This paper develops a sufficient stochastic maximum principle for optimal control problem, where the state process is governed by continuous-time Markov regime-switching jump-diffusion model. We also establish relationship between and dynamic programming in Markovian case. Applications of to mean-variance portfolio selection problem are discussed.
The purpose of this study was to examine whether tonic muscle pain an intensity at least as great that reported by the majority chronic patients causes increase in postural electromyographic activity affected musculature. Twenty young adults volunteered for experiments, knowing they involved experimental pain. We chose a controlled, two-period crossover and repeated measures design involving four conditions: (1) baseline 1, (2) pain, (3) sham (4) 2. Subjects were randomly assigned one two...
A method based on ordered weighted harmonic averaging operators is presented to solve the multiple attribute group decision making problems in which values take form of generalized interval-valued trapezoidal fuzzy numbers (GIVTFN).
The business process execution language for Web services (BPEL4WS) offers a new standards-based approach to building flexible processes by orchestrating multiple services. Unit testing is critical guarantee the creation of correct and reliable BPEL4WS processes. Yet this topic that still be explored, both in research industry. Lack unit test tooling support has affected development terms quality efficiency. This paper proposes framework, which includes composition model, architecture,...
In this paper, we show that the value functions of mean field control problems with common noise are unique viscosity solutions to fully second-order Hamilton-Jacobi-Bellman equations, in a Crandall-Lions-like framework. We allow derivative measure be state-dependent and thus infinite-dimensional, rather than derived from finite-dimensional operator, hence term ''fully''. Our argument leverages construction smooth approximations particle systems developed by Cosso, Gozzi, Kharroubi, Pham,...
We analyze an <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper N plus 1"> <mml:semantics> <mml:mrow> <mml:mi>N</mml:mi> <mml:mo>+</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> <mml:annotation encoding="application/x-tex">N+1</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-player game and the corresponding mean field with state space alttext="StartSet 0 comma 1 EndSet"> <mml:mo fence="false"...
An approach based on relative optimal membership degree is proposed to deal with multiple attribute decision-making (MADM) problems under risk weight information unknown and value as linguistic variable. Firstly, the operational laws of variable are introduced, decision matrix transformed into certain by expectation value. Then, ideal solution negative defined, model developed between alternatives solutions. In addition, ranked degree. Finally, illustrative example provided demonstrate steps...
With respect to the characteristics of fuzziness, complexity and uncertainty for many group-decision making problems in real world, paper proposes a novel method based on interval grey linguistic variables hybrid weighted harmonic aggregation operators solve multiple attribute group decision which values weights take form variables. In approach, relative concepts operation rules are defined, some (such as (IGLWHA) operator, ordered (IGLOWHA) (IGLHWHA) operator) proposed problems. The...
This paper develops a method to improve the estimation of jump variation using high frequency data with existence market microstructure noises. Accurate is in demand, as it an important component volatility finance for portfolio allocation, derivative pricing and risk management. The has two-step procedure detection estimation. In Step 1, we detect locations by performing wavelet transformation on observed noisy price processes. Since coefficients are significantly larger at than others,...
We generalize work by Bourgain and Kontorovich [ On the local-global conjecture for integral Apollonian gaskets , Invent. Math. 196 (2014), 589–650] Zhang principle 3-circle packings J. Reine Angew. 737 (2018), 71–110], proving an almost local-to-global property curvatures of certain circle packings, to a large class Kleinian groups. Specifically, we associate in natural way infinite family circles any group ${\mathcal{A}}\leqslant \text{PSL}_{2}(K)$ satisfying conditions, where $K$ is...
Abstract Machine learning applied to digital pathology has been increasingly used assess kidney function and diagnose the underlying cause of chronic disease (CKD). We developed a novel computational framework, clustering-based spatial analysis (CluSA), that leverages unsupervised learn relationships between local visual patterns in tissue. This framework minimizes need for time-consuming impractical expert annotations. 107,471 histopathology images obtained from 172 biopsy cores were...
An approach based on relative optimal membership degree is proposed to deal with multiple attribute decision-making (MADM) problems under risk weight information unknown and value as linguistic variable. Firstly, the operational laws of variable are introduced, decision matrix transformed into certain by expectation value. Then, ideal solution negative defined, model developed between alternatives solutions. In addition, ranked degree. Finally, illustrative example provided demonstrate steps...
On the one hand, probabilistic model checkers such as PRISM have been successfully employed to verify models of systems. However, they are not suitable for checking properties uncaught exceptions actual code system. other Java PathFinder (JPF) used with success do take into account probabilities associated choices In this paper, we bridge gap by extending JPF so that it takes those account. We introduce a method express choice in can easily extract alternatives choice. By default, traverses...