Aims and scope

Computers & Intelligent Decision Applications (CIDAI) is an international, peer-reviewed, open-access journal dedicated to advancing theoretical, methodological, computational, and applied research in intelligent computing, artificial intelligence, computational intelligence, decision analytics, and intelligent decision-support technologies. The journal promotes the development of innovative computational methods, analytical frameworks, and intelligent systems that improve decision-making in complex, uncertain, dynamic, and data-intensive environments.

The journal publishes original contributions employing rigorous mathematical, computational, statistical, experimental, and data-driven approaches to address contemporary scientific, engineering, industrial, managerial, and societal challenges. Computers & Intelligent Decision Applications (CIDAI) particularly encourages interdisciplinary research integrating artificial intelligence, machine learning, optimization, computational intelligence, decision sciences, data analytics, and advanced computing technologies to develop intelligent solutions for real-world decision problems.

The journal aims to bridge methodological innovation and practical implementation by fostering interdisciplinary research at the intersection of computer science, artificial intelligence, operations research, data science, optimization, and decision analytics. Contributions should demonstrate scientific originality, methodological rigor, computational validity, and practical relevance, with clear implications for intelligent decision support, digital transformation, organizational performance, sustainable development, and technological innovation.

The journal welcomes original research articles, methodological papers, computational studies, empirical investigations, comparative analyses, review articles, case studies, and application-oriented research in areas including, but not limited to:

  • Artificial Intelligence
  • Computational Intelligence
  • Intelligent Computing
  • Machine Learning
  • Deep Learning
  • Generative Artificial Intelligence
  • Explainable and Trustworthy Artificial Intelligence
  • Human-Centered Artificial Intelligence
  • Intelligent Decision Applications
  • Decision Analytics
  • Decision Support Systems
  • Multi-Criteria Decision-Making (MCDM)
  • Group Decision-Making
  • Operations Research
  • Mathematical Optimization
  • Metaheuristic Optimization Algorithms
  • Evolutionary Computation
  • Swarm Intelligence
  • Reinforcement Learning
  • Fuzzy Systems, Rough Sets, and Soft Computing
  • Hybrid Intelligent Systems
  • Neural Networks
  • Knowledge-Based Systems
  • Data Science
  • Data Mining
  • Knowledge Discovery
  • Big Data Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Business Analytics
  • Intelligent Information Systems
  • Digital Twins
  • Intelligent Simulation
  • High-Performance Computing
  • Cloud and Edge Computing
  • Internet of Things (IoT)
  • Cyber-Physical Systems
  • Smart Manufacturing
  • Industry 4.0 and Industry 5.0
  • Intelligent Transportation Systems
  • Supply Chain Analytics
  • Logistics Optimization
  • Healthcare Analytics
  • Medical Decision Support
  • Financial Analytics and FinTech
  • Smart Cities
  • Sustainable Decision-Making
  • Environmental Intelligence
  • Cybersecurity Analytics
  • Digital Transformation
  • Large Language Models (LLMs)
  • Foundation Models
  • Responsible Artificial Intelligence
  • Green Artificial Intelligence
  • Emerging Applications of Intelligent Computing and Decision Technologies

Computers & Intelligent Decision Applications (CIDAI) particularly values research that combines methodological innovation with practical applications, contributing to the advancement of intelligent computational methods and decision-support technologies across academia, industry, government, and society. Particular emphasis is placed on reproducible research, explainable intelligent models, computational efficiency, robustness, scalability, and the real-world applicability of proposed methodologies and intelligent decision solutions.