Isbn: 9783031821899 - the structure of fair solutions: achieving fairness in an optimization model (10 risultati)

Hardcover. Condizione: new. Hardcover. 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 modelsIncludes detailed proofs that provide insight into the properties of each criterionProvides guidelines for selecting a fairness model and the tendency to incentivize cooperation or competition About the AuthorsOEzguen Elci, 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 Universitys Heinz College of Information Systems and Public Policy. This book provides a novel and unifying perspective to analyze the structural properties of fair solutions in optimization formulations. The authors present a unified analysis of the structure of fair solutions resulting from different optimization models, with the aim of informing the choice of an appropriate model for a given application. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 modelsIncludes detailed proofs that provide insight into the properties of each criterionProvides guidelines for selecting a fairness model and the tendency to incentivize cooperation or competitionAbout the AuthorsÖzgün 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.…

Hardcover. Condizione: new. Hardcover. 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 modelsIncludes detailed proofs that provide insight into the properties of each criterionProvides guidelines for selecting a fairness model and the tendency to incentivize cooperation or competition About the AuthorsOEzguen Elci, 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 Universitys Heinz College of Information Systems and Public Policy. This book provides a novel and unifying perspective to analyze the structural properties of fair solutions in optimization formulations. The authors present a unified analysis of the structure of fair solutions resulting from different optimization models, with the aim of informing the choice of an appropriate model for a given application. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 modelsIncludes detailed proofs that provide insight into the properties of each criterionProvides guidelines for selecting a fairness model and the tendency to incentivize cooperation or competitionAbout the AuthorsÖzgün 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. 120 pp. Englisch.…

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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 modelsIncludes detailed proofs that provide insight into the properties of each criterionProvides guidelines for selecting a fairness model and the tendency to incentivize cooperation or competitionAbout the AuthorsÖzgün 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 120 pp. Englisch.…