Aims and scope

Journal of Computational Intelligence and Decision Analytics (CIDA) is an international peer-reviewed journal dedicated to advancing theoretical, methodological, computational, and applied research in computational intelligence, artificial intelligence, decision analytics, and intelligent decision support. The journal promotes the development of innovative computational methods and analytical frameworks that enhance decision-making in complex, uncertain, and data-rich environments.

The journal publishes original contributions that employ rigorous mathematical, computational, statistical, and experimental approaches to address contemporary scientific, engineering, industrial, managerial, and societal challenges. CIDA particularly encourages studies integrating artificial intelligence, machine learning, optimization, computational intelligence, decision sciences, and advanced analytics to develop intelligent solutions for real-world decision problems.

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

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

  • Computational Intelligence
  • Artificial Intelligence and Intelligent Systems
  • Machine Learning and Deep Learning
  • Explainable and Trustworthy Artificial Intelligence
  • Decision Analytics and Decision Support Systems
  • Multi-Criteria Decision-Making (MCDM)
  • Operations Research and Optimization
  • Metaheuristic and Evolutionary Optimization Algorithms
  • Swarm Intelligence and Evolutionary Computation
  • Fuzzy Systems, Rough Sets, and Soft Computing
  • Hybrid Intelligent Decision Models
  • Data Science, Data Mining, and Knowledge Discovery
  • Big Data Analytics and Predictive Analytics
  • Prescriptive Analytics and Intelligent Forecasting
  • Reinforcement Learning and Autonomous Decision Systems
  • Digital Twins and Intelligent Simulation
  • Business Analytics and Intelligent Management Systems
  • Supply Chain Analytics and Logistics Optimization
  • Smart Manufacturing and Industry 4.0/5.0
  • Intelligent Transportation Systems
  • Healthcare Analytics and Medical Decision Support
  • Financial Analytics and FinTech
  • Sustainable Decision-Making and Environmental Intelligence
  • Smart Cities and Urban Analytics
  • Cybersecurity Analytics
  • Human-Centered Artificial Intelligence
  • Emerging Applications of Computational Intelligence and Decision Analytics

The journal particularly values research that combines methodological innovation with practical applications, contributing to the development of intelligent decision-support technologies across academia, industry, government, and society. Particular emphasis is placed on reproducible research, interpretable intelligent models, computational efficiency, and real-world applicability of proposed methodologies.