"The most comprehensive and up-to-date collection of its kind, Case Studies in Biomedical Ethics: Decision-Making, Principles, and Cases, Second Edition, explores fundamental ethical questions arising from real situations faced by health professionals, patients, and others."
"In their OR (Operations Research) curricula, most universities place a lot of empha- sis on teaching algorithms for solving a variety of standard mathematical models for solving optimum decision-making problems like linear programming, nonlin- ear programming, integer programming, etc. and the mathematical analysis of their convergence properties and computational complexity. But they do not put much emphasis on helping their students cultivate the essential skill of constructing an appropriate mathematical model for real world decision-making problems, before these algorithms can be applied to solve them."
"The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading."
