Model-Based Decision Support Methodology with Environmental Applications, Andrzej P. Wierzbicki; Marek Makowski; Jaap Wessel

Автор: Abraham Charnes; William W. Cooper; Arie Y. Lewin;
Название: Data Envelopment Analysis: Theory, Methodology, and Applications
ISBN: 0792394801 ISBN-13(EAN): 9780792394808
Издательство: Springer
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Описание: A reference source for DEA including the following objectives: motivates DEA as an approach to organizing and analyzing data beyond its origin in efficiency analyses; presents an integrated framework, and standardized notation for understanding basic DEA models and their extension; and develops an understanding of computational issues involved.

Автор: W. Karcher; J. Devillers
Название: Practical Applications of Quantitative Structure-Activity Relationships (QSAR) in Environmental Chemistry and Toxicology
ISBN: 0792308271 ISBN-13(EAN): 9780792308270
Издательство: Springer
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Описание: Based on the Lectures given during the Eurocourse on Practical Applications of Quantitative Structure-Activity (QSAR) in Environmental Chemistry and Toxicology' held at the Joint Research Centre Ispra, Italy, June 11--15, 1990

Автор: Marc Schniederjans
Название: Goal Programming: Methodology and Applications
ISBN: 1461359376 ISBN-13(EAN): 9781461359371
Издательство: Springer
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Автор: Bernard Roy, Mark R. McCord
Название: Multicriteria Methodology for Decision Aiding
ISBN: 1441947612 ISBN-13(EAN): 9781441947611
Издательство: Springer
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Цена: 36197.00 р.
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Описание: Usually, several people (actors or stakeholders) take part in the decision process, and it is important not to confuse the one who ratifies adecision with the so-called decision maker in the decision ai ding process. This decision maker is in fact the person or the set of persons for whom or in the name of whom decision aiding effort is provided.

Автор: L. Fortuna; G. Nunnari; A. Gallo
Название: Model Order Reduction Techniques with Applications in Electrical Engineering
ISBN: 1447132009 ISBN-13(EAN): 9781447132004
Издательство: Springer
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Описание: Model Order Reduction Techniqes focuses on model reduction problems with particular applications in electrical engineering. Particular attention is given to providing basic concepts for building expert systems for model reducution.