Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications eBook

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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.

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Additional ISBNs
9780792385349

Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications 1st Edition is written by Tomas Gal; Theodor Stewart; Thomas Hanne and published by Springer. The Digital and eTextbook ISBNs for Multicriteria Decision Making are 9781461550259, 1461550254 and the print ISBNs are 9781461372837, 1461372836. Additional ISBNs for this eTextbook include 9780792385349.