Evaluating and Applying Decision Models

The authors work in different European universities and research institutions. Their backgrounds are varied: mathematics, economics, engineering, law, and geology, and they teach in engineering, business, mathematics, computer science, and psychology in their universities. As a group, the authors have particular expertise in a variety of decision models that include preference modelling, fuzzy logic, aggregation techniques, social choice theory, artificial intelligence, problem structuring, measurement theory, operations research, and multiple criteria decision support. In addition to their decision analysis research, all the authors have been involved in a variety of high-impact applications which include software evaluation, location of a nuclear repository, the rehabilitation of a sewer network, and the location of high-voltage lines. It is this variety within the authorship that unifies this book into a systematic examination of how best formal decision models can be used. 

Vol. I: Introduction.- Choosing on The Basis of Several Opinions.- Building and Aggregating Evaluations.- Constructing Measures.- Assessing Competing Projects.- Comparing on Several Attributes.- Deciding Automatically.- Dealing with Uncertainty.- Supporting Decisions.- Appendix A.- Appendix B.- Conclusion.- Bibliography.- Index. Vol. II: Introduction.- Problem Formulation and Structuring.- Numbers and Preferences.- Aggregation - Overture.- Aggregation Procedures.- Multi-Dimensional Preference Models.- Making Recommendation.- Conclusion.- Bibliography.- Name Index.- Subject Index.