Solving Complex Decision Problems, Rudolf Gr?nig; Richard K?hn; Anthony Clark; Claire
Автор: Michael Zabarankin; Stan Uryasev Название: Statistical Decision Problems ISBN: 1493953257 ISBN-13(EAN): 9781493953257 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a key role in statistical decision problems.
Описание: Ties Multiple Criteria Decision Making (MCDM)/Multiple Objective Optimization (MO) and economics together. This volume describes how MCDM methods (goal programming) can be used in economics. It is intended for postgraduate students and researchers in economics with an OR/MS orientation or in OR/MS with an economic orientation.
Автор: Hassan Qudrat-Ullah Название: Better Decision Making in Complex, Dynamic Tasks ISBN: 3319382071 ISBN-13(EAN): 9783319382074 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people`s ability to make better decision in complex, dynamic tasks.
Автор: Irfan M. Ovacik; Reha Uzsoy Название: Decomposition Methods for Complex Factory Scheduling Problems ISBN: 1461379067 ISBN-13(EAN): 9781461379065 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The factory scheduling problem, that of allocating machines to competing jobs in manufacturing facilities to optimize or at least improve system performance, is encountered in many different manufacturing environments.
Автор: David L. Olson Название: Decision Aids for Selection Problems ISBN: 0387945601 ISBN-13(EAN): 9780387945606 Издательство: Springer Рейтинг: Цена: 26552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, a number of interesting decision aids have become available to assist in such decisions. The aim of this book is to provide a comparative survey of many of the decision aids currently available. Subsequent chapters then focus on specific decision aids and demonstrate some of the software which implement these ideas.
Автор: H. A. Eiselt; Carl-Louis Sandblom Название: Decision Analysis, Location Models, and Scheduling Problems ISBN: 3642073158 ISBN-13(EAN): 9783642073151 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Oleg I. Larichev; Helen M. Moshkovich Название: Verbal Decision Analysis for Unstructured Problems ISBN: 1441947779 ISBN-13(EAN): 9781441947772 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A central problem of prescriptive decision making is the mismatch between the elegant formal models of decision theory and the less elegant, informal thinking of decision makers, especially when dealing with ill-structured situations.
Автор: David L. Olson Название: Decision Aids for Selection Problems ISBN: 1461284597 ISBN-13(EAN): 9781461284598 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, a number of interesting decision aids have become available to assist in such decisions. The aim of this book is to provide a comparative survey of many of the decision aids currently available. Subsequent chapters then focus on specific decision aids and demonstrate some of the software which implement these ideas.
Автор: Ariel Macaspac Hern?ndez Название: Strategic Facilitation of Complex Decision-Making ISBN: 331938337X ISBN-13(EAN): 9783319383378 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Embedding historical analysis, negotiation analysis, political scientific analysis and game theoretical analysis in an integrated analytical framework allows a comprehensive perspective on various dilemmas and self-enforcing dynamics that inhibit decision making.
Описание: Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems.
Автор: Tamar Kugler; J. Cole Smith; Terry Connolly; Young Название: Decision Modeling and Behavior in Complex and Uncertain Environments ISBN: 1441926461 ISBN-13(EAN): 9781441926463 Издательство: Springer Рейтинг: Цена: 24456.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: On February 27 and 28 of 2006, the University of Arizona held a workshop entitled, "Decision Modeling and Behavior in Uncertain and Complex En- ronments," sponsored by the Air Force O?ce of Scienti?c Research under a Multidisciplinary University Research Initiative (MURI) grant. The purpose of the workshop was to assemble preeminent researchers studying problems at the interface of behavioral and cognitive science, decision analysis, and operations research. This book is a compilation of 14 chapters based on the presentations given during the workshop. These contributions are grouped into four general areas, which describe in some detail the challenges in conducting novel research in this ?eld. Part One is concerned with the need for integrating decision analysis and behavioral models. Robert T. Clemen discusses how the ?elds of behavioral - search and decision analysis have diverged over time, and makes a compelling case to establish new links between the disciplines. He recommends leveraging lessons learned from behavioral studies within prescriptive decision analysis studies and evaluating the practical impact of those prescriptive techniques in helping decision makers achieve their objectives. Jenna L. Marquard and Stephen M. Robinson address eleven common "traps" that face decision model analysts and users. An understanding of these traps leads to an understanding of modeling features that either help or hurt the decision-making process. The authors link theory and practice by examining a set of case studies across a diverse array of model scenarios, and provide a checklist of recommendations for analysts confronted by these eleven traps.
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