The Structure of Fair Solutions

Achieving Fairness in an Optimization Model de

, ,

Éditeur :

Springer


Paru le : 2025-07-10

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
42,19

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

This book provides a novel and unifying perspective on the structural properties of fair solutions in optimization formulations.  The book also addresses a growing interest in incorporating fairness into the models that lie behind many business and public policy decisions.   Since there are several ways to formulate fairness mathematically, the authors characterize optimal solutions that result from different formulations with the aim of informing the choice of an appropriate model for a given application.  The focus is on fairness criteria that combine efficiency with fairness since typically both are important in practice.  Most of these results are new and do not appear in the current literature. The book is directed towards a wide range of audiences including practitioners, researchers in mathematical optimization, and welfare economists. 
 In addition, this book: Presents practical linear, nonlinear, or mixed integer programming formulations and a wide variety of fairness models Includes detailed proofs that provide insight into the properties of each criterion Provides guidelines for selecting a fairness model and the tendency to incentivize cooperation or competition 
About the Authors
Özgün Elçi, Ph.D., is a Research Scientist on the Modeling and Optimization team at Amazon.
John Hooker, Ph.D. is University Professor of Operations Research and T. Jerome Holleran Professor of Business Ethics and Social Responsibility, Emeritus, at Carnegie Mellon University.
Peter Zhang, Ph.D, is an Assistant Professor at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy.
Pages
108 pages
Collection
n.c
Parution
2025-07-10
Marque
Springer
EAN papier
9783031821899
EAN PDF
9783031821905

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3400 Ko
Prix
42,19 €
EAN EPUB
9783031821905

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
7424 Ko
Prix
42,19 €

Suggestions personnalisées