By Ali E. Abbas, Ronald A. Howard
Descripción: For courses in Decision Making and Engineering. The Fundamentals of Analyzing and Making Decisions Foundations of Decision Analysis is a groundbreaking text that explores the art of decision making, both in life and in professional settings. By exploring themes such as dealing with uncertainty and understanding the distinction between a decision and its outcome, the First Edition teaches students to achieve clarity of action in any situation. The book treats decision making as an evolutionary process from a scientific standpoint. Strategic decision-making analysis is presented as a tool to help students understand, discuss, and settle on important life choices. Through this text, students will understand the specific thought process that occurs behind approaching any decision to make easier and better life choices for themselves. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Contenido: Chapter 1: Introduction to Quality Decision Making
Chapter 2: Experiencing a Decision
Chapter 3: Clarifying Values
Chapter 4: Precise Decision Language
Chapter 5: Possibilities
Chapter 6: Handling Uncertainty
Chapter 7: Relevance
Chapter 8: Rules of Actional Thought
Chapter 9: The Party Problem
Chapter 10: Using a Value Measure
Chapter 11: Risk Attitude
Chapter 12: Sensitivity Analysis
Chapter 13: Basic Information Gathering
Chapter 14: Decision Diagramss
Chapter 15: Encoding a Probability Distribution on a Measure
Chapter 16: From Phenomenon to Asesment
Chapter 17: Framing a Decision
Chapter 18: Valuing Information from Multiple Sources
Chapter 19: Options
Chapter 20: Detectors with Multiple Indications
Chapter 21: Decisions with Influences
Chapter 22: The Logarithmic u-Curve
Chapter 23: The Linear Risk Tolerance u-Curve
Chapter 24: Aproximate Expresions for the Certain Equivalent
Chapter 25: Deterministic and Probabilistic Dominance
Chapter 26: Decisions with Multiple Attributes (1)–Ordering Prospects with Preference and Value Fu
Chapter 27: Decisions with Multiple Attributes (2)–Value Functions for Investment Cash Flows: Time
Chapter 28: Decisions With Multiple Attributes (3)–Preference Probabilities Over Value
Chapter 29: Betting on Disparate Belief
Chapter 30: Learning From Experimentation
Chapter 31: Auctions and Biding
Chapter 32: Evaluating, Scaling, and Sharing Uncertain Deals
Chapter 33: Making Risky Decisions
Chapter 34: Decisions with a High Probability of Death
Chapter 35: Discretizing Continuous Probability Distributions
Chapter 36: Solving Decision Problems by Simulation
Chapter 37: The Decision Analysis Cycle
Chapter 38: Topics in Organizational Decision Making
Chapter 39: Coordinating the Decision Making of Large Groups
Chapter 40: Decisions and Ethics
Material: