Overview
- Provides a unified presentation of the different features and possible applications of probabilistic preferences composition
- Features computational routines for probabilistic transformation and composition
- Considers the application of the probabilistic composition of preferences to important areas of management
- Includes supplementary material: sn.pub/extras
Part of the book series: Decision Engineering (DECENGIN)
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About this book
Putting forward a unified presentation of the features and possible applications of probabilistic preferences composition, and serving as a methodology for decisions employing multiple criteria, this book maximizes reader insights into the evaluation in probabilistic terms and the development of composition approaches that do not depend on assigning weights to the criteria.
With key applications in important areas of management such as failure modes, effects analysis and productivity analysis – together with explanations about the application of the concepts involved –this book makes available numerical examples of probabilistic transformation development and probabilistic composition.
Useful not only as a reference source for researchers, but also in teaching classes of graduate courses in Production Engineering and Management Science, the key themes of the book will be of especial interest to researchers in the field of Operational Research.
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Keywords
Table of contents (11 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Probabilistic Composition of Preferences, Theory and Applications
Authors: Annibal Parracho Sant'Anna
Series Title: Decision Engineering
DOI: https://doi.org/10.1007/978-3-319-11277-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-11276-3Published: 21 October 2014
Softcover ISBN: 978-3-319-38167-1Published: 10 September 2016
eBook ISBN: 978-3-319-11277-0Published: 07 October 2014
Series ISSN: 1619-5736
Series E-ISSN: 2197-6589
Edition Number: 1
Number of Pages: VII, 141
Topics: Industrial and Production Engineering, Operations Research/Decision Theory, Organization