Robustness Analysis In Decision Aiding Optimization And Analytics

Author : Michael Doumpos
Publisher : Springer
ISBN 13 : 3319331213
Total Pages : 321 pages
Book Rating : 4.18/5 ( download)

DOWNLOAD NOW!

Download or read book Robustness Analysis in Decision Aiding, Optimization, and Analytics written by Michael Doumpos and published by Springer. This book was released on 2016-07-12 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Michalis Doumpos
Publisher : Springer
ISBN 13 : 3030114821
Total Pages : 427 pages
Book Rating : 4.24/5 ( download)

DOWNLOAD NOW!

Download or read book New Perspectives in Multiple Criteria Decision Making written by Michalis Doumpos and published by Springer. This book was released on 2019-04-02 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of the latest research on multiple criteria research analysis (MCDA) and related areas, gathering a collection of high-quality chapters prepared by leading scholars in the field. By covering the established streams in MCDA research and simultaneously exploring new and emerging areas of application, it offers a unique reference resource for the future development of MCDA. The book approaches MCDA as one of the most active areas in operations research and management science (OR/MS). It presents not only the significant advances achieved to date, but also the new opportunities and challenges arising for both the theory and practice of MCDA. Among many others, the book addresses behavioral and conceptual aspects of decision aiding and decision making, problem structuring issues in the framework of new technological and socio-economic advances, methodological and algorithmic advances for analytical modeling and decision aiding, as well as a number of new application areas in engineering, business, and the social sciences.

Author : Vincent A. W. J. Marchau
Publisher : Springer
ISBN 13 : 3030052524
Total Pages : 408 pages
Book Rating : 4.22/5 ( download)

DOWNLOAD NOW!

Download or read book Decision Making under Deep Uncertainty written by Vincent A. W. J. Marchau and published by Springer. This book was released on 2019-04-04 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Author : Sarah Ben Amor
Publisher : CRC Press
ISBN 13 : 1351722115
Total Pages : 256 pages
Book Rating : 4.17/5 ( download)

DOWNLOAD NOW!

Download or read book Advanced Studies in Multi-Criteria Decision Making written by Sarah Ben Amor and published by CRC Press. This book was released on 2019-12-11 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions from some of the top academics and scientists in the field, Advanced Studies in Multi-Criteria Decision Making presents an updated view of the landscape of Decision Sciences, current research topics, the interaction with other sciences and fields, as well as the prospects and challenges at an international level. Given that Decision Sciences are recognized today as indispensable for confronting the major societal challenges in science and technology, this book would be of interest to decision-makers, managers, and researchers from academia, and industrial/services companies that would like a fresh insight into MCDM. Features Integrates a wide range of scientific fields with a general reader approach, including applied researchers from the social, business, enterprise sciences Suitable for academics and professionals Presents a broad coverage of MCDM tools either in industry or in services companies and systems Provides a fresh overview on MCDM studies promoted by prestigious R&D institutions

Author : Norbert Trautmann
Publisher : Springer Nature
ISBN 13 : 3031086236
Total Pages : 432 pages
Book Rating : 4.36/5 ( download)

DOWNLOAD NOW!

Download or read book Operations Research Proceedings 2021 written by Norbert Trautmann and published by Springer Nature. This book was released on 2022-08-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2021), which was hosted online by the University of Bern from August 31 to September 3, 2021, and was jointly organized by the Operations Research Societies of Switzerland (SVOR/ASRO), Germany (GOR e.V.), and Austria (ÖGOR). The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow massive volumes of data to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it presents a selection of problems that are modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.

Author : Marie-Jeanne Lesot
Publisher : Springer Nature
ISBN 13 : 3030501469
Total Pages : 779 pages
Book Rating : 4.64/5 ( download)

DOWNLOAD NOW!

Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems written by Marie-Jeanne Lesot and published by Springer Nature. This book was released on 2020-06-05 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Author : Ernesto León-Castro
Publisher : Springer Nature
ISBN 13 : 3030961508
Total Pages : 385 pages
Book Rating : 4.03/5 ( download)

DOWNLOAD NOW!

Download or read book Soft Computing and Fuzzy Methodologies in Innovation Management and Sustainability written by Ernesto León-Castro and published by Springer Nature. This book was released on 2022-04-11 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability. The uncertainty in the business world is increasing. Significant changes are generated unexpectedly, so using fuzzy logic and soft computing methods allows us to create flexible scenarios adaptable to new realities. Within the book, we will find different applications of fuzzy methodologies that can apply to various topics such as sustainability, innovation, tourism, costs, exports, systems administration, among others. The book's main contribution is the applicability of the various methodologies to specific cases, which allows generating a relationship between theory and practice. In addition, it has some bibliometric studies on various topics that give us a visualization of what has happened and where multiple topics are headed. This book is recommended mainly for students who wish to know how the various fuzzy and soft computing tools can be taken to real situations, allowing a better understanding of these and generating new visions of future applicability.

Author : Zacharoula Andreopoulou
Publisher : Springer
ISBN 13 : 3319555650
Total Pages : 80 pages
Book Rating : 4.52/5 ( download)

DOWNLOAD NOW!

Download or read book Multicriteria and Clustering written by Zacharoula Andreopoulou and published by Springer. This book was released on 2017-04-20 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to operational research methods and their application in the agrifood and environmental sectors. It explains the need for multicriteria decision analysis and teaches users how to use recent advances in multicriteria and clustering classification techniques in practice. Further, it presents some of the most common methodologies for statistical analysis and mathematical modeling, and discusses in detail ten examples that explain and show “hands-on” how operational research can be used in key decision-making processes at enterprises in the agricultural food and environmental industries. As such, the book offers a valuable resource especially well suited as a textbook for postgraduate courses.

Author : Susanne Hanger-Kopp
Publisher : Routledge
ISBN 13 : 0429858760
Total Pages : 348 pages
Book Rating : 4.65/5 ( download)

DOWNLOAD NOW!

Download or read book Narratives of Low-Carbon Transitions (Open Access) written by Susanne Hanger-Kopp and published by Routledge. This book was released on 2019-02-21 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the uncertainties underlying various strategies for a low-carbon future. Most prominently, such strategies relate to transitions in the energy sector, on both the supply and the demand side. At the same time they interact with other sectors, such as industrial production, transport, and building, and ultimately require new behaviour patterns at household and individual levels. Currently, much research is available on the effectiveness of these strategies but, in order to successfully implement comprehensive transition pathways, it is crucial not only to understand the benefits but also the risks. Filling this gap, this volume provides an interdisciplinary, conceptual framework to assess risks and uncertainties associated with low-carbon policies and applies this consistently across 11 country cases from around the world, illustrating alternative transition pathways in various contexts. The cases are presented as narratives, drawing on stakeholder-driven research efforts. They showcase diverse empirical evidence reflecting the complex challenges to and potential negative consequences of such pathways. Together, they enable the reader to draw valuable lessons on the risks and uncertainties associated with choosing the envisaged transition pathways, as well as ways to manage the implementation of these pathways and ultimately enable sustainable and lasting social and environmental effects. This book will be of great interest to students, scholars, and practitioners of environmental and energy policy, low-carbon transitions, renewable energy technologies, climate change action, and sustainability in general.

Author : Susanne Hanger-Kopp
Publisher : Routledge
ISBN 13 : 0429858779
Total Pages : 276 pages
Book Rating : 4.72/5 ( download)

DOWNLOAD NOW!

Download or read book Narratives of Low-Carbon Transitions written by Susanne Hanger-Kopp and published by Routledge. This book was released on 2019-02-21 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Open Access version of this book, available at https://doi.org/10.4324/9780429458781, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license." This book examines the uncertainties underlying various strategies for a low-carbon future. Most prominently, such strategies relate to transitions in the energy sector, on both the supply and the demand side. At the same time they interact with other sectors, such as industrial production, transport, and building, and ultimately require new behaviour patterns at household and individual levels. Currently, much research is available on the effectiveness of these strategies but, in order to successfully implement comprehensive transition pathways, it is crucial not only to understand the benefits but also the risks. Filling this gap, this volume provides an interdisciplinary, conceptual framework to assess risks and uncertainties associated with low-carbon policies and applies this consistently across 11 country cases from around the world, illustrating alternative transition pathways in various contexts. The cases are presented as narratives, drawing on stakeholder-driven research efforts. They showcase diverse empirical evidence reflecting the complex challenges to and potential negative consequences of such pathways. Together, they enable the reader to draw valuable lessons on the risks and uncertainties associated with choosing the envisaged transition pathways, as well as ways to manage the implementation of these pathways and ultimately enable sustainable and lasting social and environmental effects. This book will be of great interest to students, scholars, and practitioners of environmental and energy policy, low-carbon transitions, renewable energy technologies, climate change action, and sustainability in general.