Probabilistic Composition of Preferences, Theory and Applications
Author:   Annibal Parracho Sant'Anna
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
ISBN:  

9783319381671


Pages:   141
Publication Date:   10 September 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Probabilistic Composition of Preferences, Theory and Applications


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Overview

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.

Full Product Details

Author:   Annibal Parracho Sant'Anna
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   2.409kg
ISBN:  

9783319381671


ISBN 10:   3319381679
Pages:   141
Publication Date:   10 September 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Multiple Criteria Decision Analysis.- Approaches to Criteria Combination.- The Probabilistic Approach to Preferences Measurement.- Computation of Probabilities of Preference.- Composition by Joint Probabilities.- Composition by DEA Distance to the Frontier.- Dynamic Probabilistic Indices.- Probabilities in the Problem of Classification.- Capacities Determination.- Rough Sets Modeling.- Application to FMEA Priority Assessments.- Appendix.

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