Aims and scope

Journal of Intelligent Decision Making and Granular Computing is an international, peer-reviewed journal dedicated to the advancement of intelligent decision-making processes through the application of granular computing techniques. The journal provides a forum for interdisciplinary research that addresses the complexities of real-world problems involving uncertainty, imprecision, and incomplete information.

The journal emphasizes both theoretical developments and practical innovations in decision science, drawing on granular computing frameworks such as fuzzy sets, rough sets, soft sets, interval mathematics, and probabilistic structures. It also promotes hybrid approaches that combine multiple granular methodologies to support robust and interpretable decision-making.

Key topics include, but are not limited to:

• Multi-criteria and multi-objective decision-making (MCDM/MODM);

• Fuzzy sets, intuitionistic fuzzy sets and the other generalizations of fuzzy sets;

• Rough sets, fuzzy rough sets, and hybrid granular frameworks;

• Granular computing theory, architectures, and algorithms;

• Aggregation operators and utility theory;

• Knowledge representation and uncertainty modeling;

• Explainable decision-making systems and interpretable models;

• Intelligent optimization and soft computing techniques;

The journal welcomes applications across a wide spectrum of domains, including:

• Energy systems (e.g., hybrid energy planning, renewable energy integration);

• Economy and financial decision analysis;

• Logistics and supply chain management;

• Waste management and circular economy;

• Healthcare and medical diagnosis;

• Environmental and sustainability assessment;

• Smart cities and intelligent infrastructure;

• Manufacturing and industrial systems;

• Autonomous and robotic systems;

• Transportation and urban planning;

• Education, psychology, and behavioral sciences;

• Crisis management and policy evaluation.

Journal of Intelligent Decision Making and Granular Computing invites original research articles, comprehensive reviews, novel methodological contributions, and impactful case studies that promote the development of intelligent and sustainable decision-support systems.