Aim

The primary aim of Decision Making and Artificial Intelligence Trends is to facilitate the exchange of cutting-edge research, knowledge, and innovative ideas in the fields of AI, MCDM, uncertainty modeling, evolutionary computation, soft computing, neural networks, fuzzy logic, decision support, expert systems, group decision making, and their practical applications. We aspire to promote a holistic understanding of how these fields converge and synergize to advance and optimize decision-making processes across diverse domains and industries.

Scope

The journal invites contributions in the following areas:

Artificial Intelligence and Decision Making: Research exploring the integration of AI techniques, including neural networks and evolutionary computation, into decision-making processes to enhance accuracy, efficiency, and adaptability.

Multiple Criteria Decision Making (MCDM): Investigations into MCDM methodologies, models, and applications, including the use of soft computing techniques, multi-objective optimization, preference modeling, and decision support systems.

Uncertainty Modeling: Studies on uncertainty quantification, risk assessment, and probabilistic modeling within decision-making contexts, emphasizing approaches that combine AI and uncertainty management techniques.

Fuzzy Systems and Grey-Based Decision Making: Research on fuzzy logic, grey-based decision making, and related soft computing techniques as applied to decision support and optimization.

Decision Support Systems and Expert Systems: Discussions and studies on the development, deployment, and evaluation of decision-support systems, expert systems, and their role in facilitating informed decision-making.

Group Decision Making: Exploration of group decision-making processes, methods, and tools that leverage AI and MCDM techniques to enhance collective decision outcomes.

Industrial Experiences and Case Studies: Contributions featuring real-world industrial experiences and practical applications of the above techniques, including case studies, benchmarking exercises, best practices, and lessons learned.

Ethical and Responsible AI: Consideration of ethical dimensions in AI-driven decision-making, such as fairness, transparency, bias mitigation, and accountability.

Emerging Trends and Innovations: Analysis of emerging trends, breakthroughs, and innovations in AI, MCDM, and related areas that have profound implications for decision-making practices.

Decision-making and Artificial Intelligence Trends welcomes original research articles, comprehensive reviews, case studies, benchmarking exercises, and opinion pieces that advance our understanding of how AI, MCDM, uncertainty modeling, fuzzy logic, and related techniques are shaping and revolutionizing decision-making practices across a wide array of domains.

We invite scholars, researchers, practitioners, and industry experts from diverse backgrounds to share their insights, engage in meaningful discussions, and contribute to collective knowledge. Feel free to tailor this aim and scope statement further to align with the specific objectives and focus of your journal. Additionally, you may want to include information about the journal's editorial board, submission guidelines, and publication frequency in a separate section or document.