Soft Methodology And Random Information Systems

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Soft Methodology And Random Information Systems
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Author : Miguel Concepcion Lopez-Diaz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-05
Soft Methodology And Random Information Systems written by Miguel Concepcion Lopez-Diaz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-05 with Mathematics categories.
The analysis of experimental data resulting from some underlying random process is a fundamental part of most scientific research. Probability Theory and Statistics have been developed as flexible tools for this analyis, and have been applied successfully in various fields such as Biology, Economics, Engineering, Medicine or Psychology. However, traditional techniques in Probability and Statistics were devised to model only a singe source of uncertainty, namely randomness. In many real-life problems randomness arises in conjunction with other sources, making the development of additional "softening" approaches essential. This book is a collection of papers presented at the 2nd International Conference on Soft Methods in Probability and Statistics (SMPS’2004) held in Oviedo, providing a comprehensive overview of the innovative new research taking place within this emerging field.
Soft Methods For Integrated Uncertainty Modelling
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Author : Jonathan Lawry
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-08
Soft Methods For Integrated Uncertainty Modelling written by Jonathan Lawry and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-08 with Computers categories.
The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations. For instance, Zadeh de?ned ‘Soft Computing’ as follows: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. Recently soft computing has, to some extent, become synonymous with a hybrid approach combining AI techniques including fuzzy systems, neural networks, and biologically inspired methods such as genetic algorithms. Here, however, we adopt a more straightforward de?nition consistent with the original concept. Hence, soft methods are understood as those uncertainty formalisms not part of mainstream s- tistics and probability theory which have typically been developed within the AI and decisionanalysiscommunity.Thesearemathematicallysounduncertaintymodelling methodologies which are complementary to conventional statistics and probability theory.
Analysis And Design Of Intelligent Systems Using Soft Computing Techniques
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Author : Patricia Melin
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-20
Analysis And Design Of Intelligent Systems Using Soft Computing Techniques written by Patricia Melin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-20 with Technology & Engineering categories.
This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.
Soft Computing As Transdisciplinary Science And Technology
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Author : Ajith Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-14
Soft Computing As Transdisciplinary Science And Technology written by Ajith Abraham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-14 with Computers categories.
This book presents the proceedings of the Fourth International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST '05), May 25-27, 2005, Muroran, Japan. It brings together the original work of international soft computing/computational intelligence researchers, developers, practitioners, and users. This proceedings provide contributions to all areas of soft computing including intelligent hybrid systems, agent-based systems, intelligent data mining, decision support systems, cognitive and reactive distributed artificial intelligence (AI), internet modelling, human interface, and applications in science and technology.
Granular Fuzzy And Soft Computing
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Author : Tsau-Young Lin
language : en
Publisher: Springer Nature
Release Date : 2023-03-29
Granular Fuzzy And Soft Computing written by Tsau-Young Lin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-29 with Mathematics categories.
The first edition of the Encyclopedia of Complexity and Systems Science (ECSS, 2009) presented a comprehensive overview of granular computing (GrC) broadly divided into several categories: Granular computing from rough set theory, Granular Computing in Database Theory, Granular Computing in Social Networks, Granular Computing and Fuzzy Set Theory, Grid/Cloud Computing, as well as general issues in granular computing. In 2011, the formal theory of GrC was established, providing an adequate infrastructure to support revolutionary new approaches to computer/data science, including the challenges presented by so-called big data. For this volume of ECSS, Second Edition, many entries have been updated to capture these new developments, together with new chapters on such topics as data clustering, outliers in data mining, qualitative fuzzy sets, and information flow analysis for security applications. Granulations can be seen as a natural and ancient methodology deeply rooted in the human mind. Many daily "things" are routinely granulated into sub "things": The topography of earth is granulated into hills, plateaus, etc., space and time are granulated into infinitesimal granules, and a circle is granulated into polygons of infinitesimal sides. Such granules led to the invention of calculus, topology and non-standard analysis. Formalization of general granulation was difficult but, as shown in this volume, great progress has been made in combing discrete and continuous mathematics under one roof for a broad range of applications in data science.
Computer Recognition Systems 2
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Author : Marek Kurzynski
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-18
Computer Recognition Systems 2 written by Marek Kurzynski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-18 with Computers categories.
This book presents the results of the 5th International Conference on Computer Recognition Systems CORES’07 held 22-25 October 2007 in Hotel Tumski, Wroclaw, Poland. It brings together original research results in both methodological issues and different application areas of pattern recognition. The contributions cover all topics in pattern recognition including, for example, classification and interpretation of text, video, and voice.
Applied Artificial Intelligence
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Author : Da Ruan
language : en
Publisher: World Scientific
Release Date : 2006
Applied Artificial Intelligence written by Da Ruan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Applied Artificial Intelligence for Applied Research. The contributions to the seventh in the series of FLINS conferences contained in this volume cover state-of-the-art research and development in applied artificial intelligence for applied research in general and for power/nuclear engineering in particular.
Computing Statistics Under Interval And Fuzzy Uncertainty
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Author : Hung T. Nguyen
language : en
Publisher: Springer
Release Date : 2011-11-17
Computing Statistics Under Interval And Fuzzy Uncertainty written by Hung T. Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-17 with Technology & Engineering categories.
In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of the measurement inaccuracy, but often, we only know the upper bound on this inaccuracy. In this case, we have interval uncertainty: e.g. if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1. In other cases, the values are expert estimates, and we only have fuzzy information about the estimation inaccuracy. This book shows how to compute statistics under such interval and fuzzy uncertainty. The resulting methods are applied to computer science (optimal scheduling of different processors), to information technology (maintaining privacy), to computer engineering (design of computer chips), and to data processing in geosciences, radar imaging, and structural mechanics.
Computational And Ambient Intelligence
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Author : Francisco Sandoval
language : en
Publisher: Springer
Release Date : 2007-09-21
Computational And Ambient Intelligence written by Francisco Sandoval and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-21 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. Coverage includes theoretical concepts and neurocomputational formulations, evolutionary and genetic algorithms, data analysis, signal processing, robotics and planning motor control, as well as neural networks and other machine learning methods in cancer research.
Flood Risk Science And Management
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Author : Gareth Pender
language : en
Publisher: John Wiley & Sons
Release Date : 2010-12-01
Flood Risk Science And Management written by Gareth Pender and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-01 with Technology & Engineering categories.
Approaches to avoid loss of life and limit disruption and damage from flooding have changed significantly in recent years. Worldwide, there has been a move from a strategy of flood defence to one of flood risk management. Flood risk management includes flood prevention using hard defences, where appropriate, but also requires that society learns to live with floods and that stakeholders living in flood prone areas develop coping strategies to increase their resilience to flood impacts when these occur. This change in approach represents a paradigm shift which stems from the realisation that continuing to strengthen and extend conventional flood defences is unsustainable economically, environmentally, and in terms of social equity. Flood risk management recognises that a sustainable approach must rest on integrated measures that reduce not only the probability of flooding, but also the consequences. This is essential as increases in the probability of inundation are inevitable in many areas of the world due to climate change, while socio-economic development will lead to spiralling increases in the consequences of flooding unless land use in floodplains is carefully planned. Flood Risk Science and Management provides an extensive and comprehensive synthesis of current research in flood management; providing a multi-disciplinary reference text covering a wide range of flood management topics. Its targeted readership is the international research community (from research students through to senior staff) and flood management professionals, such as engineers, planners, government officials and those with flood management responsibility in the public sector. By using the concept of case study chapters, international coverage is given to the topic, ensuring a world-wide relevance.