Mats Danielson, Love Ekenberg

Real-Life Decision-Making (eBook, PDF)

• Format: PDF

Produktbeschreibung

Did you ever feel a need to improve your decision-making skills? This book is an attempt to remedy this shortcoming of our educational systems and possibly also of our common, partly intuition-based, decision culture. Intuition is not at all bad, quite the contrary, but it has to co-exist with rationality. We will show you how.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 140
• Erscheinungstermin: 8. August 2023
• Englisch
• ISBN-13: 9781000936896
• Artikelnr.: 68429702

Autorenporträt

Mats Danielson is a Full Professor in Computer and Systems Sciences at Stockholm University, a Senior Advisor to the President, and a UNESCO Chair Professor. He is a former Dean of the Faculty of Social Sciences as well as a former Vice President for External Relations, Innovation, and ICT. He has a PhD in Computer and Systems Sciences from KTH Royal Institute of Technology (KTH) as well as university degrees in Computer Science and Engineering (from KTH) and in Economics and Business Administration (from Stockholm University). He worked in the software industry for almost 20 years before joining academia to work with research and algorithm and software design and development within decision analysis and decision support.

Love Ekenberg was a Full Professor in Computer and Systems Sciences at Stockholm University and was a UNESCO Professor. He received a PhD in Computer and Systems Sciences as well as a PhD in Mathematics, both from Stockholm University. He worked with risk and decision analysis, i.e. with development of theoretical frameworks and models, products, and methodologies within these areas, for more than 20 years, along with carrying out a large number of consultancy assignments.

Inhaltsangabe

Chapter 1 Introduction
Chapter 2 Decision Modelling
Chapter 3 Bayesian Decision Analysis
Chapter 4 Imprecise Information
Chapter 5 Multi-Criteria Decision-Making
Chapter 6 The Pilot Method
Chapter 7 Real-Life Case Studies
Chapter 8 Guidelines for Real-Life Decisions
Appendix: The DecideIT Software