Risk Modeling, Assessment, And Management

Y Y Haimes

IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 1999 · 156 citations · 0 references

Concepts

TL;DR

The paper integrates the art and science of risk analysis. The study demonstrates how to quantify risk and construct probability for real‑world decision‑making, addressing institutional, organizational, political, and cultural factors. The authors present basic and advanced risk concepts without heavy mathematics, supplemented by numerous examples, case studies, and a website offering 200 example problems.

Abstract

Integrates the art and science of risk analysis. Clearly shows how to quantify risk and construct probability in conjunction with real-world decision-making problems, including a host of institutional, organizational, political, and cultural considerations. Presents basic concepts as well as advanced material, avoiding higher mathematics whenever possible. Incorporates numerous examples and case studies to illustrate the analytical methods under discussion. An accompanying web site will offer 200 example problems and case studies.