English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Decision theory recognizes two principal approaches to solving problems underuncertainty: probabilistic models and cognitive heuristics. However, engineers,public planners and decision-makers in other fields seem to employ solutionstrategies that do not fall into either field, i.e., strategies such as robustdesign and contingency planning. In addition, identical strategies appear inseveral fields and disciplines, pointing to an important shared toolkit.  The focus of this paper is to develop a systematic understanding of suchstrategies and develop a framework to better employ them in decision making andrisk management. The paper finds more than 110 examples of such strategies andthis approach to risk is termed RDOT: Risk-reducing Design and OperationsToolkit. RDOT strategies fall into six broad categories: structural, reactive,formal, adversarial, multi-stage and positive. RDOT strategies provide anefficient response even to radical uncertainty or unknown unknowns that arechallenging to address with probabilistic methods. RDOT could be incorporatedinto decision theory using workflows, multi-objective optimization andmulti-attribute utility theory.  Overall, RDOT represents an overlooked class of versatile responses touncertainty. Because RDOT strategies do not require precise estimation orforecasting, they are particularly helpful in decision problems affected byuncertainty and for resource-constrained decision making.

On strategies for risk management and decision making under uncertainty shared across multiple fields