Aims

The Journal of Intelligent Decision and Computational Modelling (JIDCM) is an international, peer-reviewed journal that publishes original research articles, review papers, and case studies at the intersection of intelligent decision-making systems and computational modeling techniques. The journal aims to advance the understanding and application of intelligent methods to solve complex decision problems in various domains, including engineering, economics, healthcare, social sciences, logistics, and beyond.

Scopes:
JIDCM provides a platform for researchers, practitioners, and policymakers to explore innovative methodologies in areas such as

* Artificial intelligence and machine learning for decision support
* Multi-criteria and multi-objective decision-making
* Computational optimization and simulation
* Fuzzy logic, neural networks, and evolutionary algorithms
* Agent-based and hybrid modeling approaches
* Uncertainty modeling and risk analysis
* Human-computer interaction in intelligent systems
* Data-driven decision-making and predictive analytics

The journal particularly welcomes interdisciplinary studies that integrate computational techniques with real-world decision-making challenges, as well as theoretical advancements with practical implications.
JIDCM is committed to high-quality scholarship and aims to foster knowledge exchange among academics and professionals working at the forefront of intelligent and computational decision science.