indicatorsoften
Indicatorsoften is a term used to describe a class of indicators that blend quantitative measures with soft signals such as expert judgment, stakeholder feedback, and explicit uncertainty estimates. The approach aims to provide probabilistic assessments and narrative context rather than binary pass/fail judgments, enabling more nuanced decision-making in risk assessment and planning.
Origin and usage: The term is not standardized and appears mainly in discussions within data science, policy
Methodology: In indicatorsoften, quantitative indicators are scaled and combined with elicited soft indicators. Aggregation methods include
Applications: Used in corporate governance, project portfolio management, public health surveillance, urban planning, and environmental policy
Advantages and limitations: Advantages include richer contextual information, improved handling of uncertainty, and better support for
See also: indicators, risk assessment, uncertainty visualization, fuzzy logic.