Probabilistic Composition of Preferences, Theory and Applications

Annibal Parracho Sant'Anna

ISBN 10: 3319112767 / ISBN 13: 9783319112763

Published by Springer International Publishing, Springer International Publishing Okt 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 152 pp. Englisch.

Seller Inventory # 9783319112763

Bibliographic Details

• Title: Probabilistic Composition of Preferences, Theory and Applications
• Publisher: Springer International Publishing, Springer International Publishing Okt 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3319112767
• ISBN 13: 9783319112763
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 14D millimeters 241 millimeters width by 160 millimeters height by 14 millimeters depth
• Weight: 401 grams

About this title

Synopsis

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.