Handbook on decision making. Vol.2. Risk management in decision making

Handbook on Decision Making: Vol 2: Risk

📁 Handbook on Decision Making: Vol 2: Risk Management in Decision Making

✍ Jie Lu, Lakhmi C. Jain, Guangquan Zhang (auth.), Jie Lu, Lakhmi C. Jain, Guangqu 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: comp

How Leaders Decide: Tackling Biases and

📁 How Leaders Decide: Tackling Biases and Risks in Decision-making

✍ Harjeet Khanduja 📂 Library 📅 2022 🏛 SAGE Publishing India 🌐 English

Organizations provide mind-boggling compensations to their leaders as compared to an average employee. Is it because they work more? Just like the saying ‘we are the decisions we make’, the very existence of an organization depends on the decisions its leaders make! Decision-making is not just a pro

Risk Taking and Decision Making: Foreign

📁 Risk Taking and Decision Making: Foreign Military Intervention Decisions

✍ Yaacov Y. I. Vertzberger 📂 Library 📅 2022 🏛 Stanford University Press 🌐 English

Risks are an integral part of complex, high-stakes decisions, and decisionmakers are faced with the unavoidable tasks of assessing risks and forming risk preferences. This is true for all decision domains, including financial, environmental, and foreign policy domains, among others. How well deci

Decision Making with Imperfect Decision

📁 Decision Making with Imperfect Decision Makers

✍ Alan Carlin, Shlomo Zilberstein (auth.), Tatiana Valentine Guy, Miroslav Kárný, 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prev

Decision Making with Imperfect Decision

📁 Decision Making with Imperfect Decision Makers

✍ Alan Carlin, Shlomo Zilberstein (auth.), Tatiana Valentine Guy, Miroslav Kárný, 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prev

Uncertainty in Risk Assessment, Risk Man

📁 Uncertainty in Risk Assessment, Risk Management, and Decision Making

✍ Miller B. Spangler (auth.), Vincent T. Covello, Lester B. Lave, Alan Moghissi, V 📂 Library 📅 1987 🏛 Springer US 🌐 English

The subject of this volume--uncertainties in risk assessment and management--reflects an important theme in health, safety, and environ mental decision making. MOst technological hazards are characterized by substantial uncertainty. Recent examples include nuclear waste disposal, acid rain, asbe