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.
Описание: Multiobjective and Multicriteria Problems and Decision Models.- Multiobjective and Multicriteria Decision Processes and Methods.- Basic Concepts on Risk Analysis, Reliability and Maintenance.- Multidimensional Risk Analysis.- Preventive Maintenance Decisions.- Decision Making in Condition-Based Maintenance.- Decision on Maintenance Outsourcing.- Spare Parts Planning Decisions.- Decision on Redundancy Allocation.- Design Selection Decisions.- Decisions on Priority Assignment for Maintenance Planning.- Other Risk, Reliability and Maintenance Decision Problems.
Описание: Presents selected papers from an international workshop devoted to the theory, techniques and tools of decision analysis and support. Major trends in the development of this field are stressed, such as the tendency to place the final user of a decision support system in the centre of attention.
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: Nadine Meskens; M.R. Roubens Название: Advances in Decision Analysis ISBN: 9048151678 ISBN-13(EAN): 9789048151677 Издательство: Springer Рейтинг: Цена: 18161.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present book fmds its roots in the International Conference on Methods and Applications of Multiple Criteria Decision Making held in Mons in May 1997.
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: Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis
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: M. Lina Mart?nez; Francisco Javier Gir?n Название: Applied Decision Analysis ISBN: 9048157773 ISBN-13(EAN): 9789048157778 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: Fumiko Seo; Masatoshi Sakawa Название: Multiple Criteria Decision Analysis in Regional Planning ISBN: 940108291X ISBN-13(EAN): 9789401082914 Издательство: Springer Рейтинг: Цена: 48076.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is devoted to presenting theoretical fundamentals for the methods of multiple criteria decision making (MCDM) in the social sciences with particular intent to their applicability to real-world decision making.
Автор: Jaroslav Ram?k; Milan Vlach Название: Generalized Concavity in Fuzzy Optimization and Decision Analysis ISBN: 146135577X ISBN-13(EAN): 9781461355779 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of beautiful theoretical results that are at the same time extremely useful in the analysis and solution of optimization problems, including problems of either single objective or multiple objectives.
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