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: X Table of Contents Table of Contents XI XII Table of Contents Table of Contents XIII XIV Table of Contents Table of Contents XV XVI Table of Contents K.S.
Название: Case Studies in Intelligent Computing ISBN: 1138034126 ISBN-13(EAN): 9781138034129 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology. Filling this need, Case Studies in Intelligent Computing: Achievements and Trends provides an up-to-date introduction to intelligent systems.
This edited book captures the state of the art in intelligent computing research through case studies that examine recent developments, developmental tools, programming, and approaches related to artificial intelligence (AI). The case studies illustrate successful machine learning and AI-based applications across various industries, including:
A non-invasive and instant disease detection technique based upon machine vision through the image scanning of the eyes of subjects with conjunctivitis and jaundice
Semantic orientation-based approaches for sentiment analysis
An efficient and autonomous method for distinguishing application protocols through the use of a dynamic protocol classification system
Nonwavelet and wavelet image denoising methods using fuzzy logic
Using remote sensing inputs based on swarm intelligence for strategic decision making in modern warfare
Rainfall-runoff modeling using a wavelet-based artificial neural network (WANN) model
Illustrating the challenges currently facing practitioners, the book presents powerful solutions recently proposed by leading researchers. The examination of the various case studies will help you develop the practical understanding required to participate in the advancement of intelligent computing applications.
The book will help budding researchers understand how and where intelligent computing can be applied. It will also help more established researchers update their skills and fine-tune their approach to intelligent computing.
Описание: Provides a point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems. This book explores the adequacy of the tools and systems developed according to this approach in addressing complex financial decision problems, encountered within the field of financial engineering.
Автор: Hatem Masri; Blanca P?rez-Gladish; Constantin Zopo Название: Financial Decision Aid Using Multiple Criteria ISBN: 3319688758 ISBN-13(EAN): 9783319688756 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance. Covering a wide range of MCDM approaches, including multiobjective optimization, goal programming, value-based models, outranking techniques, and fuzzy models, it provides researchers and practitioners with a set of MCDM methodologies and empirical results in areas such as portfolio management, investment appraisal, banking, and corporate finance, among others. The book addresses issues related to problem structuring and modeling, solution techniques, comparative analyses, as well as combinations of MCDM models with other analytical methodologies.
Автор: Denis Bouyssou; Eric Jacquet-Lagr?ze; Patrice Pern Название: Aiding Decisions with Multiple Criteria ISBN: 1461352665 ISBN-13(EAN): 9781461352662 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Aiding Decisions With Multiple Criteria: Essays in Honor of BernardRoy is organized around two broad themes:
Graph Theory with path-breaking contributions on the theory of flows in networks and project scheduling,
Multiple Criteria Decision Aiding with the invention of the family of ELECTRE methods and methodological contribution to decision-aiding which lead to the creation of Multi-Criteria Decision Analysis (MCDA). Professor Bernard Roy has had considerable influence on the development of these two broad areas. /LIST Part one contains papers by Jacques Lesourne, and Dominique de Werra & Pierre Hansen related to the early career of Bernard Roy when he developed many new techniques and concepts in Graph Theory in order to cope with complex real-world problems. Part two of the book is devoted to Philosophy and Epistemology of Decision-Aiding with contributions from Valerie Belton & Jacques Pictet and Jean-Luis Genard & Marc Pirlot. Part three includes contributions based on Theory and Methodology of Multi-Criteria Decision-Aiding based on a general framework for conjoint measurement that allows intrasitive preferences. Denis Bouyssou & Marc Pirlot; Alexis Tsouki s, Patrice Perny & Philippe Vincke; Luis Dias & Jo o Cl maco; Daniel Vanderpooten; Michael Doumpos & Constantin Zopounidis; and Marc Roubens offer a considerable range of examinations of this aspect of MCDA. Part four is devoted to Perference Modeling with contributions from Peter Fishburn; Salvatore Greco, Benedetto Matarazzo & Roman Slowinski; Salem Benferhat, Didier Dubois & Henri Prade; Oscar Franzese & Mark McCord; Bertrand Munier; and Raymond Bisdorff. Part five groups Applications of Multi-Criteria Decision-Aiding, and Carlos Henggeler Antunes, Carla Oliveira & Jo o Cl maco; Carlos Bana e Costa, Manuel da Costa-Lobo, Isabel Ramos & Jean-Claude Vansnick; Yannis Siskos & Evangelos Grigoroudis; Jean-Pierre Brans, Pierre Kunsch & Bertrand Mareschal offer a wide variety of application problems. Finally, Part six includes contributions on Multi-Objective Mathematical Programming from Jacques Teghem, Walter Habenicht and Pekka Korhonen.
Автор: Carlos A. Bana e Costa Название: Readings in Multiple Criteria Decision Aid ISBN: 3642759378 ISBN-13(EAN): 9783642759376 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second School was held in 1985 at Narnur (Belgium) and I am pleased now to present the selected readings from the "Third International Summer School on Multicriteria Decision Aid: Methods, Applications and Software", which took place in Monte Estoril (Portugal), in 1988.
Автор: Jengnan Juang; Yi-Cheng Huang Название: Intelligent Technologies and Engineering Systems ISBN: 1461467462 ISBN-13(EAN): 9781461467465 Издательство: Springer Рейтинг: Цена: 58774.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book concentrates on intelligent technologies as it relates to engineering systems. The book covers the following topics: networking, signal processing, artificial intelligence, control and software engineering, intelligent electronic circuits and systems, communications, and materials and mechanical engineering.
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Software Engineering Perspectives and Application in Intelligent Systems ISBN: 3319336207 ISBN-13(EAN): 9783319336206 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The volume Software Engineering Perspectives and Application in Intelligent Systems presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of Software Engineering.
Автор: Staffan Sunnersj? Название: Intelligent Computer Systems in Engineering Design ISBN: 3319281232 ISBN-13(EAN): 9783319281230 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thisintroductory book discusses how to plan and build useful, reliable,maintainable and cost efficient computer systems for automated engineeringdesign.
Автор: Bernard Roy, Mark R. McCord Название: Multicriteria Methodology for Decision Aiding ISBN: 1441947612 ISBN-13(EAN): 9781441947611 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Поставка под заказ.
Описание: Usually, several people (actors or stakeholders) take part in the decision process, and it is important not to confuse the one who ratifies adecision with the so-called decision maker in the decision ai ding process. This decision maker is in fact the person or the set of persons for whom or in the name of whom decision aiding effort is provided.
Описание: Constitutes the proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. This volume covers topics such as artificial neural networks and connectionists systems; fuzzy and neuro-fuzzy systems; and, evolutionary computation.
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