Overview
- Leads the reader from the beginning to the end of the process
- Delivers the decision-making strategy in a clear, understandable, and concise way
- Provides insight into both simple and complex projects
- Multiple case studies illustrate the concepts
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About this book
This book develops a whole strategy for decision-making, with the full participation of the decision-maker and utilizing continuous feedback. It introduces the use of the very well-known and proven methodology, linear programming, but specially adapted for this purpose. For this, it incorporates a method to include subjective concepts, as well as the possibility of working with many different and even contradictory objectives. The book is liberally populated with diverse case studies to illustrate the concepts. This practical guide will be of interest to anyone undertaking analysis and decision-making, on both simple and complex projects, and who is looking for a strategy to organize, classify, and evaluate the large amount of information required to make an informed decision. The strategy includes methods to analyze the results and extract conclusions from them.
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Keywords
Table of contents (9 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: A Strategy for Using Multicriteria Analysis in Decision-Making
Book Subtitle: A Guide for Simple and Complex Environmental Projects
Authors: Nolberto Munier
DOI: https://doi.org/10.1007/978-94-007-1512-7
Publisher: Springer Dordrecht
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2011
Hardcover ISBN: 978-94-007-1511-0Published: 10 July 2011
Softcover ISBN: 978-94-017-8442-9Published: 25 November 2014
eBook ISBN: 978-94-007-1512-7Published: 10 July 2011
Edition Number: 1
Number of Pages: XXI, 298
Topics: Math. Appl. in Environmental Science, Engineering Economics, Organization, Logistics, Marketing, Management of Computing and Information Systems, Linear and Multilinear Algebras, Matrix Theory, Sustainable Development, Optimization