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: Po-Lung Yu Название: Multiple-Criteria Decision Making ISBN: 1468483978 ISBN-13(EAN): 9781468483970 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an outgrowth of formal graduate courses in multiple-criteria decision making (MCDM) that the author has taught at the University of Rochester, University of Texas at Austin, and University of Kansas since 1972.
Автор: Eisenf?hr Название: Rational Decision Making ISBN: 3642028500 ISBN-13(EAN): 9783642028502 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These developments have elevated prescriptive decision theory to the status of an important discipline with increasingly strong practical ties - nowadays, even m- agers are concerned with decision trees, probability distributions and risk profiles.
Описание: Eurocorridors are characterized by intensive transport flows and dynamic patterns of establishment and household locations. In the light of this, the book`s main objectives are: - To define the problem by analyzing the key features, which include freight and passenger transport policies and issues;
Автор: Waymond Rodgers; Timothy McFarlin Название: Decision Making for Personal Investment ISBN: 3319478486 ISBN-13(EAN): 9783319478487 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a personal financial decision making model based on six dominant decision making pathways. It outlines each pathway in detail before focusing on real estate investments in the second part of the book. Based on the authors extensive research into investment decision making, decision modeling and experimental psychology, strategies presented in this book will facilitate more successful investment decision making.
Автор: Rosanas, Josep Maria Название: Decision-making in an organizational context ISBN: 0230297927 ISBN-13(EAN): 9780230297920 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Illustrates how decision-making in organizations has to go beyond economic criteria and the individual level, due to the impossibility of making decisions that do not affect other human beings. The author reviews the conventional analyses of decision-making that do not take into account how decisions affect others and suggests an alternate model.
Автор: Marugan, Alberto Pliego (consultant For Everis Spain And Ingenium Groups) Garcia Marquez, Fausto Pedro (senior Lecturer (with Tenure) At Uclm, Spain) Название: Decision-making management ISBN: 0128115408 ISBN-13(EAN): 9780128115404 Издательство: Elsevier Science Рейтинг: Цена: 13298.00 р. Наличие на складе: Поставка под заказ.
Описание: Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business-critical decisions employing Logical Decision Trees thus saving time and money. The book focuses on decision-making and resource allocation across and between the manufacturing, product design and logistical functions. It demonstrates key results for each sector with diverse real-world case studies drawn primarily from EU projects. Theory is accompanied by relevant analysis techniques, with a progressional approach building from simple theory to complex and dynamic decisions with multiple data points, including big data and lot of data. Binary Decision Diagrams are presented as the operating approach for evaluating large Logical Decision Trees, helping readers identify Boolean equations for quantitative analysis of multifaceted problem sets. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The final objective is to optimize dynamic decisions with original approaches employing useful tools, including Big Data analysis. Extensive annexes provide useful supplementary information for readers to follow methods contained in the book.
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