Library / Problem Structuring and Decision Support Principles Framework
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PSD.5:11 - SoTA-Echoing

Practice questionBest-known lineSerious alternative or defaultDefect overcome and pattern mutationSource roles and limitsReopen condition
How should models contribute jointly without hiding their different meanings?Select models by the questions they answer and inspect the joins between problem structuring and analysis.One comprehensive model is the serious default; an unconstrained collection is the rival expansion.Adapt: PSD.5:4.1–4.4 choose the smallest complementary set and expose incompatible meanings. Compared with expanding one model, this deliberately accepts some correspondence work to preserve a material concern that the single model omits; it makes no universal claim of lower cost.Marttunen, Lienert, and Belton’s 2017 review of PSM–MCDA combinations is a critical synthesis candidate for combination benefits and interface difficulties, including value-tree and weighting issues. Its reviewed applications are not controlled evidence that more models are better or that one combination fits every inquiry. The question-led selection and non-use rule are PSD adaptations.Reopen if a simpler model answers the same material questions with equivalent limits, or a new mismatch shows that the chosen combination loses a consequential meaning.
What justifies relying on a model-supported claim?Qualify the intended use, evidence, and losses separately from confidence in the model or its producer.Technical sophistication, modeler reputation, or participant confidence is treated as sufficient credibility.Adapt: PSD.5:4.3–4.6 and the flood-pump case retain applicability, evidence dependencies, and unresolved assumptions. The extra assurance effort is accepted only where it can change reliance; sketches remain usable for recognition.Schwarzburg, Trauer, and Rebentisch’s 2024 confidence study supplies bounded empirical evidence that model-, modeler-, and stakeholder-related factors are associated with confidence and reliance. Its exploratory survey and proposed application model do not validate a particular decision model or establish causal decision quality. Current C.29 supplies mathematical mapping and loss discipline, not validation, causality, or authority. A.1.1 supplies the three model relations used above; it applies only when their claims matter to the decision.Reopen when direct validation contradicts a relied-on claim, the use leaves its qualification window, or a current modeling practice offers the same assurance at materially lower effort.