Facebook Pixel

Multicriteria Decision Making

Advances in MCDM Models, Algorithms, Theory, and Applications
ISBN:
9781461372837
Auflage:
Softcover reprint of the original 1st ed. 1999
Verlag:
Springer US
Land des Verlags:
Deutschland
Erscheinungsdatum:
30.10.2012
Reihe:
International Series in Operations Research & Management Science
Format:
Softcover
Seitenanzahl:
538
Ladenpreis
241,99 EUR (inkl. MwSt. zzgl. Versand)
Lieferung in 5-10 Werktagen Versandkostenfrei ab 40 Euro in Österreich
Hinweis: Da dieses Werk nicht aus Österreich stammt, ist es wahrscheinlich, dass es nicht die österreichische Rechtslage enthält. Bitte berücksichtigen Sie dies bei ihrem Kauf.
At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide.
Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together `state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.