Uncertainty Modeling In Knowledge Engineering And Decision Making

Author:
Publisher: World Scientific
ISBN: 9814417742
Size: 48.80 MB
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Uncertainty Modeling In Knowledge Engineering And Decision Making from the Author: . 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. Sample Chapter(s). Foreword (55 KB). Evaluation of Manufacturing Technology of Photovoltaic Cells (124 KB). Contents: Decision Making and Decision Support Systems; Uncertainty Modeling; Foundations of Computational Intelligence; Statistics, Data Analysis and Data Mining; Intelligent Information Processing; Productivity and Reliability; Applied Research. Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic.

Uncertainty Modelling In Knowledge Engineering And Decision Making

Author: Xianyi Zeng
Publisher: World Scientific
ISBN: 9813146982
Size: 47.38 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.

Integrated Uncertainty In Knowledge Modelling And Decision Making

Author: Zengchang Qin
Publisher: Springer
ISBN: 3642395155
Size: 77.93 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.

Modeling Sociocultural Influences On Decision Making

Author: Joseph V. Cohn
Publisher: CRC Press
ISBN: 1315352567
Size: 60.44 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.

Trends In Interactive Visualization

Author: Elena Zudilova-Seinstra
Publisher: Springer Science & Business Media
ISBN: 9781848002692
Size: 71.81 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.

Sustainable Forestry

Author:
Publisher: CABI
ISBN: 1845931750
Size: 73.61 MB
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Sustainable Forestry from the Author: . In the context of forest sustainability, this book presents the issues related to both global climate change and conservation of biodiversity. It highlights four methodologies and shows how they contribute in overcoming the ecological challenges facing our world. The practical experience presented can be applied to the implementation of successful sustainable forestry policies.

The 2 Tuple Linguistic Model

Author: Luis Mart├şnez
Publisher: Springer
ISBN: 331924714X
Size: 48.42 MB
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The 2 Tuple Linguistic Model from the Author: Luis Mart├şnez. 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 Management In Information Systems

Author: Amihai Motro
Publisher: Springer Science & Business Media
ISBN: 9780792398035
Size: 23.29 MB
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Uncertainty Management In Information Systems from the Author: Amihai Motro. This is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modelling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty.

Spatial Information For Land Use Management

Author: Michael J. Hill
Publisher: CRC Press
ISBN: 9789056993153
Size: 42.95 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.