Spectral interpretation of decision diagrams

Decision diagrams (DDs) are data structures for efficient (time/space) representations of large discrete functions. In addition to their wide application in engineering practice, DDs are now a standard part of many CAD systems for logic design and a basis...

  Real Options Analysis Tools and Techniques for Valuing Strategic Investment and Decisions

Real options analysis has become a key management tool for many of today's businesses. It is an accurate method for estimating the value of corporate investments, and it can be effectively utilized in situations where management has flexibility in large c...

 Decision Making with the Analytic Network Process Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks

The Analytic Network Process (ANP) developed by Thomas Saaty in his work on multicriteria decision making applies network structures with dependence and feedback to complex decision making. This book is a selection of applications of ANP to economic, soci...

 Online Stochastic Combinatorial Optimization

Online decision making under uncertainty and time constraints represents one of the most challenging problems for robust intelligent agents. In an increasingly dynamic, interconnected, and real-time world, intelligent systems must adapt dynamically to unc...

 MIS Cases Decision making with application software

Appropriate for any introductory, intermediate or advanced MIS course where cases are used. This casebook serves as an ideal supplement to most MIS/CIS textbooks where students complete Excel, Access, and web projects. Designed to demonstrate how softw...

 Evaluation and Decision Models with Multiple Criteria Stepping Stones for the Analyst

Formal decision and evaluation models are sets of explicit and well-defined rules to collect, assess, and process information in order to be able to make recommendations in decision and/or evaluation processes. They are so widespread that almost no one ca...

  Data Analysis and Decision Making With Microsoft Excel + The DecisionTools and StatTools Suite International Student Edition

The DecisionTools and StatToolS Suite - Student Edition The academic version of the world's leading toolkit for statistical and decision analysis now offers you two years of superior Microsoft Excel add-ins and Windows tools with most of the analytic...

 Planning based on decision theory

Planning of actions based on decision theory is a hot topic for many disciplines. Seemingly unlimited computing power, networking, integration and collaboration have meanwhile attracted the attention of fields like Machine Learning, Operations Research, M...

 Analysis and Decision Making in Uncertain Systems

A unified and systematic description of analysis and decision problems within a wide class of uncertain systems, described by traditional mathematical methods and by relational knowledge representations. With special emphasis on uncertain control sy...

 Satisficing games and decision making With applications to engineering and computer science

In our day-to-day lives we constantly make decisions which are simply 'good enough' rather than optimal. Most computer-based decision making algorithms, on the other hand, doggedly seek only the optimal solution based on rigid criteria and reject any othe...

 ERP and its impact on decision making (Journal of decision systems Vol.10 n°1/2001)

Stakeholder Involvement Framework for Understanding the Decision Making Process of ERP Selection in New Zealand – Liaquat Hossain and Maha Shakir. A Delphi Examination of Public Sector ERP Lifecycle – She-I Chang and Guy G. Gable. Organizat...

 Applied Decision Support with Soft Computing

Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, ha...

 Bayesian Networks and Decision Graphs

Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and to understand them...