Integrated Uncertainty In Knowledge Modelling And Decision Making

Author: Zengchang Qin
Publisher: Springer
ISBN: 3642395155
Size: 58.23 MB
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Integrated Uncertainty In Knowledge Modelling And Decision Making from the Author: Zengchang Qin. This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.

Uncertainty Modelling In Knowledge Engineering And Decision Making

Author: Xianyi Zeng
Publisher: World Scientific
ISBN: 9813146982
Size: 23.42 MB
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Uncertainty Modelling In Knowledge Engineering And Decision Making from the Author: Xianyi Zeng. FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions to the 12th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.

Decision Making In Natural Resource Management

Author: Michael J. Conroy
Publisher: John Wiley & Sons
ISBN: 1118506235
Size: 73.68 MB
Format: PDF, Mobi
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Decision Making In Natural Resource Management from the Author: Michael J. Conroy. This book is intended for use by natural resource managers and scientists, and students in the fields of natural resource management, ecology, and conservation biology, who are confronted with complex and difficult decision making problems. The book takes readers through the process of developing a structured approach to decision making, by firstly deconstructing decisions into component parts, which are each fully analyzed and then reassembled to form a working decision model. The book integrates common-sense ideas about problem definitions, such as the need for decisions to be driven by explicit objectives, with sophisticated approaches for modeling decision influence and incorporating feedback from monitoring programs into decision making via adaptive management. Numerous worked examples are provided for illustration, along with detailed case studies illustrating the authors’ experience in applying structured approaches. There is also a series of detailed technical appendices. An accompanying website provides computer code and data used in the worked examples. Additional resources for this book can be found at: www.wiley.com/go/conroy/naturalresourcemanagement.

Modeling Sociocultural Influences On Decision Making

Author: Joseph V. Cohn
Publisher: CRC Press
ISBN: 149873670X
Size: 28.77 MB
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Modeling Sociocultural Influences On Decision Making from the Author: Joseph V. Cohn. In our increasingly globally interconnected world, understanding and appreciating the sociocultural context within which individuals make their decisions is critical to developing successful partnerships. The collection of chapters in this volume illustrates how advances in information and social media technologies, as well as modeling and simulation tools, combined with the social sciences, can be leveraged to better understand how sociocultural context influences decision making. The chapters in this volume were contributed by leading experts from academia, industry, and government and provide: Insights into cross-cultural decision making based on recent international events, with grounding in an historical context Discussions of cutting-edge modeling techniques used today by professionals across multiple organizations and agencies Descriptions of specific cross-cultural decision making tools designed for use by laypeople and professionals Case studies on the role of cross-cultural decision making grounded in current events and (in many cases) military applications.

The 2 Tuple Linguistic Model

Author: Luis Martínez
Publisher: Springer
ISBN: 331924714X
Size: 30.49 MB
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The 2 Tuple Linguistic Model from the Author: Luis Martínez. This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results. The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model. Professionals and researchers working in the field of classification or fuzzy sets and systems will find The 2-tuple Linguistic Model: Computing with Words in Decision Making a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.

Uncertainty Modeling In Knowledge Engineering And Decision Making

Author: Cengiz Kahraman
Publisher: World Scientific
ISBN: 9814417750
Size: 63.65 MB
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Uncertainty Modeling In Knowledge Engineering And Decision Making from the Author: Cengiz Kahraman. FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. Contents:Decision Making and Decision Support SystemsUncertainty ModelingFoundations of Computational IntelligenceStatistics, Data Analysis and Data MiningIntelligent Information ProcessingProductivity and ReliabilityApplied Research Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic. Keywords:FLINS 2012;Uncertainty;Knowledge Engineering;Decision MakingKey Features:The book includes the latest developments by the prominent authors

Trends In Interactive Visualization

Author: Elena Zudilova-Seinstra
Publisher: Springer Science & Business Media
ISBN: 9781848002692
Size: 23.32 MB
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Trends In Interactive Visualization from the Author: Elena Zudilova-Seinstra. II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.

Integrated Uncertainty In Knowledge Modelling And Decision Making

Author: Van-Nam Huynh
Publisher: Springer
ISBN: 331925135X
Size: 49.94 MB
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Integrated Uncertainty In Knowledge Modelling And Decision Making from the Author: Van-Nam Huynh. This book constitutes the refereed proceedings of the 4th International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2015, held in Nha Trang, Vietnam, in October 2015. The 40 revised full papers were carefully reviewed and selected from 58 submissions and are presented together with three keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management

Engineering Decision Making And Risk Management

Author: Jeffrey W. Herrmann
Publisher: John Wiley & Sons
ISBN: 1118919386
Size: 33.66 MB
Format: PDF, ePub
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Engineering Decision Making And Risk Management from the Author: Jeffrey W. Herrmann. IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.

Spatial Information For Land Use Management

Author: Michael J. Hill
Publisher: CRC Press
ISBN: 9789056993153
Size: 63.49 MB
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Spatial Information For Land Use Management from the Author: Michael J. Hill. Geographic Information Systems (GIS), Remote Sensing, and environmental modelling are increasingly being used to address land use and land use management issues although much of the development in these applications is based in specific case studies that are not readily accessible to a wide audience. Spatial Information for Land Use Management is designed as a reference that provides a description and discussion of the issues involved in the use of spatial information for land use management. The chapters include detailed examples of the use of spatial information in land use management. The book begins with the technological methods, examines applications in a variety of environments, and describes the ways in which issues of scale, uncertainty, linkage of models and GIS, and problem solution have been addressed.