Probabilistic Composition of Preferences, Theory and Applications

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 com...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Parracho Sant'Anna, Annibal (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Decision Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Parracho Sant'Anna, Annibal.  |e author. 
245 1 0 |a Probabilistic Composition of Preferences, Theory and Applications  |h [electronic resource] /  |c by Annibal Parracho Sant'Anna. 
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300 |a VII, 141 p.  |b online resource. 
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490 1 |a Decision Engineering,  |x 1619-5736 
505 0 |a 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. 
520 |a 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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650 0 |a Organization. 
650 0 |a Planning. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
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650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Organization. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319112763 
830 0 |a Decision Engineering,  |x 1619-5736 
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950 |a Engineering (Springer-11647)