The Journal of Decision Support Systems and Multi-Criteria Decision Making aims to provide a scholarly forum for the development, evaluation, and application of decision support systems and multi-criteria decision-making approaches.
The journal seeks to advance research in Decision Support Systems (DSS), Multi-Criteria Decision Making (MCDM), decision analysis, computational decision methods, and related fields by publishing rigorous theoretical, methodological, computational, and applied research.
The journal particularly encourages research that develops new decision models, improves existing methods, integrates complementary approaches, evaluates methodological performance, and addresses complex real-world decision problems.
The Journal of Decision Support Systems and Multi-Criteria Decision Making welcomes original research addressing the design, development, evaluation, and application of decision-support and multi-criteria decision-making methods.
Design and development of DSS, intelligent DSS, web-based and computer-based systems, data-driven decision support, DSS architectures and frameworks, decision analytics, and computational support for decision making.
MCDM, MADM, MODM, preference modeling, ranking, selection, prioritization, group decision making, and hybrid or integrated MCDM approaches.
Objective, subjective, and hybrid weighting methods, preference elicitation, criteria importance assessment, weight sensitivity, and stability analysis.
Development of new methods, modifications and extensions of existing methods, comparative evaluation, mathematical and computational models, uncertainty, fuzzy, grey, probabilistic, and stochastic approaches.
Optimization, mathematical modeling, computational intelligence, data analytics, machine-learning-assisted decision support, algorithms, sensitivity analysis, robustness, and ranking stability.
Business and management, finance and investment, supply chain and logistics, healthcare, education, engineering, information technology, environmental and sustainability problems, human resources, energy, infrastructure, public services, and other real-world decision problems.
The journal welcomes studies that introduce, modify, integrate, validate, or systematically evaluate decision-making approaches.
Applications of established methods should provide meaningful scientific contribution through methodological development, analytical insight, empirical evidence, comparative evaluation, or practical decision-support implications.
New or modified methods should clearly explain their rationale, relationship to existing approaches, computational procedures, and evidence supporting their validity and usefulness.
The journal welcomes interdisciplinary research connecting decision support and multi-criteria decision making with computer science, informatics, artificial intelligence, data science, mathematics, statistics, operations research, optimization, management, economics, engineering, healthcare, education, logistics, sustainability, and related disciplines. The relationship between the research and decision support, decision analysis, MCDM, or related computational decision research should be clearly established.
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