Science Frontier Research: Mathematics & Decision Science

Chalkboard with research diagrams and theories.
The Journal of Science Frontier Research - Mathematics & Decision Science is dedicated to publishing high-quality, peer-reviewed research that advances theoretical and applied knowledge in mathematics and decision-making sciences. The journal provides a platform for innovative studies that contribute to problem-solving, optimization, predictive analytics, and informed decision-making in complex systems.

Research Areas

The journal serves mathematicians, decision scientists, operations researchers, data analysts, and interdisciplinary professionals focused on analytical thinking and strategic decision-making. Submissions that present novel theoretical insights, practical models, or cross-disciplinary applications are particularly encouraged.

Pure and applied mathematics
Mathematical modeling and simulation
Operations research and optimization techniques
Decision theory and game theory
Probability, statistics, and stochastic processes
Computational mathematics and numerical analysis
Data science and predictive modeling
Fuzzy logic, neural networks, and soft computing
Multi-criteria and multi-objective decision-making
Risk analysis and uncertainty modeling
Mathematical economics and finance
Algorithm design and complexity theory
Quantitative methods in management and engineering
Systems analysis and control theory
Interdisciplinary applications of mathematics in science, technology, and industry
Algebra, Geometry and Topology
Real and Complex Analysis
Differential Equations and Functional Analysis
Approximation Theory and Wavelets
Numerical Algorithms and High Performance Computing
Monte Carlo Methods and Stochastic Simulation
Statistical Inference and Hypothesis Testing
Regression, Time Series and Multivariate Analysis
Probability Theory and Random Processes
Optimization Techniques: Linear, Nonlinear, Integer
Game Theory and Strategic Decision Models
Multi-criteria Decision Making (MCDM)
Bayesian Decision Theory and Uncertainty Quantification
Operations Research: Scheduling, Networks, Flows
Control Theory and Dynamical Systems Applications
Mathematical Finance and Risk Modeling
Actuarial Science and Insurance Mathematics
Mathematical Ecology and Population Dynamics
Computational Geometry and Graph Algorithms

The scope includes, but is not limited to

Development of new mathematical theories and proofs
Mathematical modeling of physical, biological, economic, and social systems
Computational and numerical methods for large-scale problems
Statistical learning, data mining and high-dimensional data analysis
Probability models, stochastic processes and uncertainty quantification
Optimization and operations research for engineering and logistics
Decision analysis, risk evaluation, and strategic decision frameworks
Regression, time series, multivariate and nonparametric statistics
Dynamical systems, chaos theory and control system analysis
Discrete mathematics, combinatorics, graph theory and algorithms
Mathematical tools for finance, insurance and actuarial analysis
Simulation techniques for complex systems and experimental design
Applications of mathematics in technology, science and decision support systems
Integrated approaches linking mathematics with interdisciplinary scientific research