This book is designed to support you in making difficult decisions in a more - tional way. Based on an established theoretical foundation, it shows that simple requirements concerning rational behavior lead to a general calculus of determ- ing optimal decision alternatives; the book then goes on to present methods and instruments useful for the practical implementation of these concepts. Psychological research has uncovered a multitude of systematic cognitive - ases associated with the intuitive decision process, especially concerning the f- mation of preferences and subjective probability judgments for uncertain events. These developments have elevated prescriptive decision theory to the status of an important discipline with increasingly strong practical ties - nowadays, even m- agers are concerned with decision trees, probability distributions and risk profiles. There is also a wide range of software available on the market to aid users with the use of the instruments. We would like to convince you, by help of the many pr- tical questions and case studies included with most chapters, that the material c- ered is not purely an academic diet but also of high practical nutritional value. The mindset suggested by the theory as an approach for decision problems will surely be of much use to you both in your private and professional life, even if you do not apply the presented methods of decision making support in every little - tail.

InhaltsangabeWhat decision analysis is about.- Structuring the decision problem.- Generating objectives and hierarchies.- Generating and preselecting alternatives.- Decision making under certainty with one objective.- Decision making under certainty and with multiple objectives: multiattribute value functions.- The generation of probabilities.- Simulation of an objective variable's probability distribution.- Decisions under risk and one objective.- Decision under risk: incomplete information and multiple objectives.- Time preferences under certain expectations.- Group decisions.- Descriptive aspects of decision making.

What Decision Analysis Is About.- Structuring the Decision Problem.- Generating Objectives and Hierarchies.- Generating and Preselecting Alternatives.- Decision Making Under Certainty With One Objective.- Decision Making Under Certainty and With Multiple Objectives: Multiattribute Value Functions.- The Generation of Probabilities.- Simulation of an Objective Variable''s Probability Distribution.- Decisions Under Risk and One Objective.- Decision Under Risk: Incomplete Information and Multiple Objectives.- Time Preferences Under Certain Expectations.- Group Decisions.- Descriptive Aspects of Decision Making.