Redefining the impact assessment of buildings: an uncertainty-based approach to rating codes

Figures & data

Table 1. Categories of uncertainties (right hand side column) identified in literature.

Authors	Categories of uncertainty
Walker et al. (2003)	Level of uncertainty (statistical; scenario and ignorance, total ignorance) Nature of uncertainty (epistemic and variability)
Rotmans and van Asselt (2001)	Variability (randomness of nature, human behaviour and technological surprises) Lack of knowledge (lack of measurements, conflicting evidence and ignorance)
Leung et al. (2015)	Incomplete information, and the prediction and management of those outcomes Communication (decision-making under uncertain conditions) Avoidance (behaviour).
Hopfe and Hensen (2011)	Physical (materials properties), Design (geometry), Scenario uncertainties (internal gains and climate change).
Mirakyan and DeGuio (2015)	Linguistic (vagueness and ambiguity) Knowledge (context, model and technical) Variability (natural, human, institutional and technological) Decision (objectives, criteria and strategies) Procedural (available time, resources and imperfect communication)
Regan et al. (2002)	Epistemic (imperfect measurement devices, insufficient data, extrapolations and interpolations, and variability over time or space.) Linguistic (scientific vocabulary or theoretical indeterminacies.)
Ragas et al. (2009)	Problem definition uncertainty True uncertainty (lack of knowledge) Variability (phenomenon of the real world)

Figure 1. The three stages of the rating code model (Fenner and Ryce 2008) are represented in black. Intermediate stages – mediated from the uncertainty-based planning principles – are added in order to form an uncertainty-based model of assessment.

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