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.

• Chapter 1 IntroductionChapter 2 Decision ModellingChapter 3 Bayesian Decision Analysis Chapter 4 Imprecise InformationChapter 5 Multi-Criteria Decision-MakingChapter 6 The Pilot MethodChapter 7 Real-Life Case StudiesChapter 8 Guidelines for Real-Life DecisionsAppendix: The DecideIT Software

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.

• Chapter 1 IntroductionChapter 2 Decision ModellingChapter 3 Bayesian Decision Analysis Chapter 4 Imprecise InformationChapter 5 Multi-Criteria Decision-MakingChapter 6 The Pilot MethodChapter 7 Real-Life Case StudiesChapter 8 Guidelines for Real-Life DecisionsAppendix: The DecideIT Software

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.

• Chapter 1 IntroductionChapter 2 Decision ModellingChapter 3 Bayesian Decision Analysis Chapter 4 Imprecise InformationChapter 5 Multi-Criteria Decision-MakingChapter 6 The Pilot MethodChapter 7 Real-Life Case StudiesChapter 8 Guidelines for Real-Life DecisionsAppendix: The DecideIT Software