SMART

Smart Multi-Criteria Analytics and Reasoning Technologies

Current Issue

Vol. 1 No. 1 (2025): Smart Multi-Criteria Analytics and Reasoning Technologies

Published: 2025-09-17

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The international journal Smart Multi-Criteria Analytics and Reasoning Technologies (SMART) is an academic journal with a double-blind review process, freely available online in accordance with the open access policy. The journal is a central platform for the publication of original and high-quality research in the fields of multi-criteria decision making (MCDM), artificial intelligence (AI) and their mutual integration.

The goal of SMART journal is to publish scientific papers that significantly contribute to the development of knowledge in the field of theory and practice of decision-making, intelligent systems and analytical methodologies. The journal accepts papers dealing with:
    • integration of MCDM techniques with intelligent technologies,
    • independent progress in the development and application of MCDM methods,
    • research focused exclusively on AI approaches related to inference, decision support, learning or analytical modeling.

By supporting both integrated and narrowly specialized research, SMART encourages wider academic exchange between researchers dealing with theoretical foundations, methodological innovations and practical applications.
Subject areas covered by the journal include (but are not limited to):
    • models and tools from the field of Multi-Criteria Decision Making (MCDM/MADM),
    • Intelligent Decision Support Systems (IDSS),
    • machine learning and AI in the context of decision-making,
    • hybrid models that combine traditional and AI approaches,
    • fuzzy logic, expert systems and inference frameworks,
    • optimization in conditions of multiple criteria and uncertainty,
    • applications in areas such as business, engineering, health, public policies, sustainable development, logistics and others.

Published papers are expected to apply reliable scientific methods such as: modeling and simulation, mathematical and statistical analysis, algorithm development, case studies, comparative empirical research or data-based AI-experiments.

SMART aims to be an international, interdisciplinary forum for academics, researchers, practitioners and decision makers, promoting both theoretical innovations and practical contributions in the field of smart, data-driven and multi-criteria decision making.