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AuthorZopounidis, Constantin. author
TitleIntelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering [electronic resource] / by Constantin Zopounidis, Michael Doumpos
ImprintBoston, MA : Springer US : Imprint: Springer, 2000
Connect tohttp://dx.doi.org/10.1007/978-1-4615-4663-4
Descript XVIII, 217 p. online resource

SUMMARY

This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems. The aim of the book is to provide a review of the research in the area and to explore the adequacy of the tools and systems developed according to this innovative approach in addressing complex financial decision problems, encountered within the field of financial engineering. Audience: Researchers and professionals such as financial managers, financial engineers, investors, operations research specialists, computer scientists, management scientists and economists


Computer science Operations research Decision making Finance Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Finance general Operation Research/Decision Theory



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