Overview
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 25)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The book concentrates on the basic principles in the domain of discrete multicriterion analysis, and examines each of these principles in terms of their properties and their implications. In multicriterion decision analysis, any optimum in the strict sense of the term does not exist. Rather, multicriterion decision making utilizes tools, methods, and thinking to examine several solutions, each having their advantages and disadvantages, depending on one's point of view. Actually, various methods exist for reaching a good choice in a multicriterion setting and even a complete ranking of the alternatives. The book describes and compares these methods, so-called `aggregation methods', with their advantages and their shortcomings. Clearly, organizations are becoming more complex, and it is becoming harder and harder to disregard complexity of points of view, motivations, and objectives. The day of the single objective (profit, social environment, etc. ) is over and the wishes of all those involved in all their diversity must be taken into account. To do this, a basic knowledge of multicriterion decision analysis is necessary. The objective of this book is to supply that knowledge and enable it to be applied.
The book is intended for use by practitioners (managers, consultants), researchers, and students in engineering and business.
Authors and Affiliations
Bibliographic Information
Book Title: Multicriterion Decision in Management
Book Subtitle: Principles and Practice
Authors: Jean-Charles Pomerol, Sergio Barba-Romero
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4615-4459-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-7923-7756-6Published: 29 February 2000
Softcover ISBN: 978-1-4613-7008-6Published: 04 October 2012
eBook ISBN: 978-1-4615-4459-3Published: 06 December 2012
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XIII, 395
Topics: Operations Research/Decision Theory, Artificial Intelligence, Optimization