• Uncertainty-aware multi-criteria decision analysis becomes a central paradigm, combining evidential reasoning, uncertainty-aware evaluation, and weight sensitivity to support robust choices in engineering and planning problems [5], [6], [3], [15].

• Human-centered decision analytics foreground user experience, preferences, and interaction, testing elicitation methods, interactive preference learning and visualization to improve decision quality [18], [16], [1], [13].

• Problem structuring and representation, aided by COPE/VIS A, sequential decision diagrams, and cluster-based planning, enable flexible evaluation of ill-posed or large-scale problems in practice [11], [12], [20].

• Domain-specific decision support for water resources highlights negotiation, rural water supply programming, and method-choice effects, illustrating applied multicriteria frameworks in environmental contexts [7], [15], [8].