Intelligent Decision Support Systems

Intelligent Decision Support Systems (IDSS) are becoming increasingly important for assisting scientific investigation, organizational management, healthcare, engineering, environmental monitoring, and strategic planning under conditions of growing complexity and uncertainty. Contemporary decision-support technologies successfully integrate computational models, artificial intelligence, predictive analytics, and large-scale data processing; however, they generally focus on optimizing isolated decisions rather than evaluating the long-term viability of complex systems.This article proposes the conceptual foundations of Intelligent Decision Support Systems within the framework of Vitology. Rather than supporting individual decisions alone, the proposed methodology focuses on evaluating alternative developmental trajectories according to their influence on long-term system viability within the Space of Harmony.Within this framework, intelligent decision support integrates conceptual theory, quantitative indicators, mathematical models, computational algorithms, artificial intelligence, viable digital twins, predictive diagnostics, and interdisciplinary scientific knowledge into a unified computational methodology. Such integration enables comparative evaluation of alternative scenarios, early identification of organizational risks, adaptive refinement of recommendations, and scientifically grounded support for Harmony Navigation.Artificial intelligence functions as a methodological partner that continuously analyzes multidimensional organizational relationships, improves computational representations, estimates possible developmental trajectories, and assists researchers while remaining subordinate to conceptual theory, mathematical rigor, empirical validation, and human scientific judgment.The proposed methodology establishes scientific foundations for future intelligent decision-support systems applicable to natural, biological, ecological, social, organizational, technological, and artificial systems. By integrating decision-support methodologies with the principles of Vitology, the proposed framework contributes to the emergence of a unified interdisciplinary methodology for supporting scientifically grounded decisions aimed at preserving, restoring, navigating, and increasing the viability of complex systems. Keywords Vitology, intelligent decision support systems, viability, decision support, Space of Harmony, Harmony Navigation, artificial intelligence, computational modeling, viable digital twins, predictive diagnostics, systems science, organizational decision-making, interdisciplinary research.