About the Journal

Aims

The Journal of Multi-criteria Decision-Making: Theory and Applications (JMCDMTA) is an international, peer-reviewed forum dedicated to the advancement of the science and practice of decision-making in environments characterized by multiple, often conflicting, objectives.

The journal’s mission is to bridge the gap between theoretical innovation and practical implementation. We provide a global platform for researchers, practitioners, and policymakers to disseminate breakthrough methodologies, computational developments, and high-impact case studies. JMCDMTA prioritizes research that not only pushes the mathematical boundaries of decision science but also demonstrates how these tools solve complex societal, industrial, and environmental challenges.

 

Scope

The journal invites original research articles, comprehensive reviews, and technical notes across three primary pillars:

  1. Theoretical Foundations & Methodological Innovations

We seek contributions that propose new paradigms or significantly enhance existing frameworks, including:

  • Core MCDM Frameworks: Advances in AHP/ANP, TOPSIS, PROMETHEE, ELECTRE, VIKOR, and Multi-Attribute Utility Theory (MAUT).
  • Mathematical Programming: Multi-objective linear/non-linear programming, goal programming, and stochastic optimization.
  • Behavioral & Interactive MCDM: Cognitive biases in decision-making, psychological aspects of choice, and interactive preference elicitation.
  • Consensus & Group Dynamics: Large-Scale Group Decision-Making (LSGDM), conflict resolution models, and opinion dynamics in social networks.
  1. Emerging & Advanced Computational Techniques

The journal emphasizes the evolution of decision-making in the era of Big Data and AI, focusing on:

  • Advanced Uncertainty Modeling: Research involving Spherical, Picture, and Pythagorean fuzzy sets, as well as Neutrosophic logic and Plithogenic sets.
  • Intelligent MCDM: Integration of Machine Learning (Random Forests, Neural Networks) and Artificial Intelligence with decision frameworks.
  • Explainable AI (XAI): Enhancing the transparency and interpretability of "black-box" decision models.
  • Dynamic & Robust Systems: Multi-period decision-making and distributionally robust optimization for "Black Swan" events.
  1. Practical Applications & Case Studies

We encourage submissions that apply MCDM tools to real-world problems with measurable impact:

  • Sustainability & Green Logistics: Circular economy strategies, Life Cycle Assessment (LCA) integration, and carbon-neutral distribution networks.
  • Industry 4.0/5.0 & Supply Chain: Resilience modeling, manufacturing optimization, and smart infrastructure.
  • Healthcare & Public Policy: Clinical decision support, resource allocation, and urban planning.
  • Economics & ESG: Risk assessment, portfolio management, and Social Sustainability metrics.
  • Software & Open-Source Tools: Development of R, Python, or Julia libraries and web-based decision support systems (DSS) that democratize access to MCDM methods.

 

Submission Criteria

JMCDMTA values methodological rigor and reproducibility. We welcome:

  • Research Articles presenting novel algorithms or significant application breakthroughs.
  • State-of-the-Art Reviews that identify critical gaps in current literature.
  • Negative Results & Reproducibility Studies that provide vital insights into why certain methods may fail in specific contexts.

By fostering an interdisciplinary approach, JMCDMTA aims to be the premier venue for transforming multi-criteria theory into actionable global solutions.