Name: Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications
Brand: Springer Verlag
SKU: 9781461372837
Price: 21495.0 INR
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Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications

by Gal, Tomas

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ISBN13: 9781461372837
Binding: Paperback
Subject: Business Management
Publisher: Springer Verlag
Publisher Imprint: Springer
Publication Date: January 1, 2012
Pages: 538
Original Price: GBP 179.99
Language: English
Edition: N/A
Item Weight: 776 grams
BISAC Subject(s): Decision-Making & Problem Solving, Probability & Statistics / General, and Applied

About The Book

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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