Probabilistic Composition of Preferences, Theory and Applications

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Science & Nature, Technology, Engineering, Industrial
Cover of the book Probabilistic Composition of Preferences, Theory and Applications by Annibal Parracho Sant'Anna, Springer International Publishing
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Author: Annibal Parracho Sant'Anna ISBN: 9783319112770
Publisher: Springer International Publishing Publication: October 7, 2014
Imprint: Springer Language: English
Author: Annibal Parracho Sant'Anna
ISBN: 9783319112770
Publisher: Springer International Publishing
Publication: October 7, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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