Journal of Intelligent Decision and Computational Modelling
Journal of Intelligent Decision and Computational Modelling (JIDCM) is a peer-reviewed scientific journal committed to enhancing the comprehension and effective utilization of risk assessment methodologies and their impact on decision-making processes. The journal provides a platform for researchers, practitioners, and experts across diverse domains to share their findings and insights into risk evaluation, mitigation strategies, and informed decision-making. With its interdisciplinary approach, JIDCM invites contributions from fields such as risk analysis, finance, environmental science, healthcare, engineering, and more. The journal respects the rules of ethical publication, is subject to the regulations of the Committee on Publication Ethics (COPE), and is committed to following the implementing rules of the Law on the Prevention and Combating of Fraud in Scientific Works. The journal publishes journals with full open access, meaning that all articles are available to all users immediately after publication on the Internet.
Aims & scope
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.
Editor-in-Chief
Ghasem Tohidi
Department of Operational Research at Azad University of Central Tehran Branch, Tehran, Iran.
Editorial Contact
Maryam Bahmanpour
Department of Mathematics, Isfahan Branch, Islamic Azad University, Isfahan, Iran.
mbahmanpour@yahoo.com
ISSN
pending