Decision Theory and Decision Analysis: Trends and Challenges, Sixto R?os
Название: Business Decision Analysis ISBN: 0631201769 ISBN-13(EAN): 9780631201762 Издательство: Wiley Рейтинг: Цена: 4750.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Business Decision Analysis is part of a major new national programme of texts and modules designed for undergraduate students on Business Studies degree courses. It provides 150 hours of high quality study to be used in a supported learning environment.
Автор: Cox L Название: Breakthroughs in Decision Science and Risk Analysis ISBN: 1118217160 ISBN-13(EAN): 9781118217160 Издательство: Wiley Рейтинг: Цена: 17416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a simple and clear exposition, Breakthroughs in Decision Science and Risk Analysis details recent advances in the theory, methods, and applications of decision and risk analysis that can significantly change and improve how we learn from important practical decisions.
Автор: Goodwin Paul Название: Decision Analysis for Management Judgement ISBN: 1118740734 ISBN-13(EAN): 9781118740736 Издательство: Wiley Рейтинг: Цена: 8070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Decision Analysis for Management Judgment is unique in its breadth of coverage of decision analysis methods. It covers both the psychological problems that are associated with unaided managerial decision making and the decision analysis methods designed to overcome them.
Автор: Oleg I. Larichev; Helen M. Moshkovich Название: Verbal Decision Analysis for Unstructured Problems ISBN: 0792345789 ISBN-13(EAN): 9780792345787 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text is devoted to a special class of decision making problems, called "unstructured problems". A new procedure of decision making in non-structured problems is constructed and some methods that are logical inferences from it are demonstrated.
Автор: M. Lina Mart?nez; Francisco Javier Gir?n Название: Applied Decision Analysis ISBN: 0792382501 ISBN-13(EAN): 9780792382508 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Taking advantage of the many specialists visiting Spain prior to the INFORMS Meeting in Barcelona, hold from July 14th to July 17th 1997, we organized a work- shop on Decision Analysis Applications at the Real Academia de Ciencias, Madrid, Spain, from J uly 11th to 12th 1997, under the sponsorship of de the Instituto Espaiia.
Автор: Sixto R?os Название: Decision Theory and Decision Analysis: Trends and Challenges ISBN: 0792394666 ISBN-13(EAN): 9780792394662 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides surveys of aspects of decision analysis and utility theory and contributions on decision-making under uncertainty, partial beliefs and preferences. It reflects the real possibilities of developments such as non-expected utility theories and multicriteria decision techniques.
Автор: Salvatore Greco; Matthias Ehrgott; Jos? Rui Figuei Название: Trends in Multiple Criteria Decision Analysis ISBN: 146142688X ISBN-13(EAN): 9781461426882 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Synthesizing the latest research in the field, this volume presents developments in applications, methodologies and foundations of Multiple Criteria Decision Making (MCDM). Topics discussed include problem structuring methods, measurement theory, and more.
Автор: Power Название: Engineering Effective Decision Support Technologies ISBN: 1466640022 ISBN-13(EAN): 9781466640023 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: <em>Engineering Effective Decision Support Technologies: New Models and Applications</em> presents a collection of the latest research in DMSS and applies those theoretical considerations to best practices in the field. This reference includes empirical case studies and an analysis of new models and perspectives in knowledge management, promoting discussion of DMSS strategies among managers, researchers, and students of information science.
Описание: The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.
This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive illustration of the challenges that robustness raises in different operations research and management science (OR/MS) contexts and the methodologies proposed from multiple perspectives. Aside from covering recent methodological developments, this volume also features applications of robust techniques in engineering and management, thus illustrating the robustness issues raised in real-world problems and their resolution within advances in OR/MS methodologies.
Robustness analysis seeks to address issues by promoting solutions, which are acceptable under a wide set of hypotheses, assumptions and estimates. In OR/MS, robustness has been mostly viewed in the context of optimization under uncertainty. Several scholars, however, have emphasized the multiple facets of robustness analysis in a broader OR/MS perspective that goes beyond the traditional framework, seeking to cover the decision support nature of OR/MS methodologies as well. As new challenges emerge in a “big-data'” era, where the information volume, speed of flow, and complexity increase rapidly, and analytics play a fundamental role for strategic and operational decision-making at a global level, robustness issues such as the ones covered in this book become more relevant than ever for providing sound decision support through more powerful analytic tools.
Описание: The point of departure in the present book is that the decision makers, involved in the evaluation of alternatives under conflicting criteria, express their preferential judgement by estimating ratios of subjective values or differences of the corresponding logarithms, the so-called grades.
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