Fuzzy Evidence in Identification, Forecasting and Diagnosis

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Author :
Publisher : Springer
ISBN 13 : 3642257860
Total Pages : 323 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Fuzzy Evidence in Identification, Forecasting and Diagnosis by : Alexander P. Rotshtein

Download or read book Fuzzy Evidence in Identification, Forecasting and Diagnosis written by Alexander P. Rotshtein and published by Springer. This book was released on 2012-01-26 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis.

Fuzzy Evidence in Identification, Forecasting and Diagnosis

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642257852
Total Pages : 323 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Fuzzy Evidence in Identification, Forecasting and Diagnosis by : Alexander P. Rotshtein

Download or read book Fuzzy Evidence in Identification, Forecasting and Diagnosis written by Alexander P. Rotshtein and published by Springer Science & Business Media. This book was released on 2012-01-27 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis.

Fuzzy Evidence in Identification, Forecasting and Diagnosis

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Author :
Publisher : Springer
ISBN 13 : 9783642257872
Total Pages : 313 pages
Book Rating : 4.2/5 (578 download)

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Book Synopsis Fuzzy Evidence in Identification, Forecasting and Diagnosis by : Alexander P. Rotshtein

Download or read book Fuzzy Evidence in Identification, Forecasting and Diagnosis written by Alexander P. Rotshtein and published by Springer. This book was released on 2012-02-01 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis.

Lecture Notes in Computational Intelligence and Decision Making

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Publisher : Springer
ISBN 13 : 3030264742
Total Pages : 729 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Lecture Notes in Computational Intelligence and Decision Making by : Volodymyr Lytvynenko

Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Volodymyr Lytvynenko and published by Springer. This book was released on 2019-07-23 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Recent Developments and the New Direction in Soft-Computing Foundations and Applications

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Publisher : Springer
ISBN 13 : 3319754084
Total Pages : 623 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Recent Developments and the New Direction in Soft-Computing Foundations and Applications by : Lotfi A. Zadeh

Download or read book Recent Developments and the New Direction in Soft-Computing Foundations and Applications written by Lotfi A. Zadeh and published by Springer. This book was released on 2018-05-28 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.

Recent Developments in Automatic Control Systems

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Publisher : CRC Press
ISBN 13 : 1000795608
Total Pages : 490 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Recent Developments in Automatic Control Systems by : Yuriy P. Kondratenko

Download or read book Recent Developments in Automatic Control Systems written by Yuriy P. Kondratenko and published by CRC Press. This book was released on 2023-01-30 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides an overview of the recent developments in modern control systems including new theoretical findings and successful examples of practical implementation of the control theory in different areas of industrial and special applications. Recent Developments in Automatic Control Systems consists of extended versions of selected papers presented at the XXVI International Conference on Automatic Control "Automation 2020" (October 13–15, 2020, Kyiv, Ukraine) which is the main Ukrainian Control Conference organized by the Ukrainian Association on Automatic Control (national member organization of IFAC) and the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute". This is the third monograph in the River Publishers series in Automation, Control and Robotics based on the selected papers of the Ukrainian Control Conferences "Automation", in particular, the first monograph Control Systems: Theory and Applications (2018) was published based on "Automation – 2017" and the second monograph Advanced Control Systems: Theory and Applications was based on "Automation – 2018". The monograph is divided into three main parts: (a) Advances in Theoretical Research of Control Systems; (b) Advances in Control Systems Application; (c) Recent Developments in Collaborative Automation. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in recent developments in modern control systems, robust adaptive systems, optimal control, fuzzy control, motion control, identification, modelling, differential games, evolutionary optimization, reliability control, security control, intelligent robotics and cyber–physical systems.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

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Publisher : Springer
ISBN 13 : 3319914766
Total Pages : 773 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by : Jesús Medina

Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations written by Jesús Medina and published by Springer. This book was released on 2018-05-30 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Issues and Challenges in Artificial Intelligence

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Publisher : Springer
ISBN 13 : 3319068830
Total Pages : 181 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Issues and Challenges in Artificial Intelligence by : Zdzisław S. Hippe

Download or read book Issues and Challenges in Artificial Intelligence written by Zdzisław S. Hippe and published by Springer. This book was released on 2014-06-03 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of human-computer system interaction problems is increasing due to the growing expectations of users on general computer systems capabilities in human work and life facilitation. Users expect system which is not only a passive tool in human hands but rather an active partner equipped with a sort of artificial intelligence, having access to large information resources, being able to adapt its behavior to the human requirements and to collaborate with the human users. This book collects examples of recent human-computer system solutions. The content of the book is divided into three parts. Part I is devoted to detection, recognition and reasoning in different circumstances and applications. Problems associated with data modeling, acquisition and mining are presented by papers collected in part II and part III is devoted to Optimization.

Advanced Control Systems

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Publisher : CRC Press
ISBN 13 : 1000794067
Total Pages : 476 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Advanced Control Systems by : Yuriy P. Kondratenko

Download or read book Advanced Control Systems written by Yuriy P. Kondratenko and published by CRC Press. This book was released on 2022-09-01 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design, development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications. It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19, 2018, Lviv, Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization of IFAC) and Lviv National University “Lvivska Politechnica”. More than 100 papers were presented at the conference with topics including: mathematical problems of control, optimization and game theory; control and identification under uncertainty; automated control of technical, technological and biotechnical objects; controlling the aerospace craft, marine vessels and other moving objects; intelligent control and information processing; mechatronics and robotics; information measuring technologies in automation; automation and IT training of personnel; the Internet of things and the latest technologies. The book is divided into two main parts, the first concerning theory (7 chapters) and the second concerning applications (7 chapters) of advanced control systems. The first part “Advances in Theoretical Research on Automatic Control” consists of theoretical research results which deal with descriptor control impulsive delay systems, motion control in condition of conflict, inverse dynamic models, invariant relations in optimal control, robust adaptive control, bio-inspired algorithms, optimization of fuzzy control systems, and extremal routing problem with constraints and complicated cost functions. The second part “Advances in Control Systems Applications” is based on the chapters which consider different aspects of practical implementation of advanced control systems, in particular, special cases in determining the spacecraft position and attitude using computer vision system, the spacecraft orientation by information from a system of stellar sensors, control synthesis of rotational and spatial spacecraft motion at approaching stage of docking, intelligent algorithms for the automation of complex biotechnical objects, an automatic control system for the slow pyrolysis of organic substances with variable composition, simulation complex of hierarchical systems based on the foresight and cognitive modelling, and advanced identification of impulse processes in cognitive maps. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in advanced control systems.

Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 3031320956
Total Pages : 239 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems by : Witold Pedrycz

Download or read book Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems written by Witold Pedrycz and published by Springer Nature. This book was released on 2023-07-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.

Green IT Engineering: Social, Business and Industrial Applications

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Publisher : Springer
ISBN 13 : 3030002535
Total Pages : 602 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Green IT Engineering: Social, Business and Industrial Applications by : Vyacheslav Kharchenko

Download or read book Green IT Engineering: Social, Business and Industrial Applications written by Vyacheslav Kharchenko and published by Springer. This book was released on 2018-09-29 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the implementation of green IT in various human and industrial domains. Consisting of four sections: “Development and Optimization of Green IT”, “Modelling and Experiments with Green IT Systems”, “Industry and Transport Green IT Systems”, “Social, Educational and Business Aspects of Green IT”, it presents results in two areas – the green components, networks, cloud and IoT systems and infrastructures; and the industry, business, social and education domains. It discusses hot topics such as programmable embedded and mobile systems, sustainable software and data centers, Internet servicing and cyber social computing, assurance cases and lightweight cryptography in context of green IT. Intended for university students, lecturers and researchers who are interested in power saving and sustainable computing, the book also appeals to engineers and managers of companies that develop and implement energy efficient IT applications.

Towards an Advanced Modelling of Complex Economic Phenomena

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Publisher : Springer Science & Business Media
ISBN 13 : 364224811X
Total Pages : 299 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Towards an Advanced Modelling of Complex Economic Phenomena by : Jaime Gil Aluja

Download or read book Towards an Advanced Modelling of Complex Economic Phenomena written by Jaime Gil Aluja and published by Springer Science & Business Media. This book was released on 2011-11-06 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Little by little we are being provided with an arsenal of operative instruments of a non-numerical nature, in the shape of models and algorithms, capable of providing answers to the “aggressions” which our economics and management systems must withstand, coming from an environment full of turmoil. In the work which we are presenting, we dare to propose a set of elements from which we hope arise focuses capable of renewing those structures of economic thought which are upheld by the geometrical idea. The concepts of pretopology and topology, habitually marginalized in economics and management studies, have centred our interest in recent times. We consider that it is not possible to conceive formal structures capable of representing the Darwinism concept of economic behaviour today without recurring to this fundamental generalisation of metric spaces. In our attempts to find a solid base to the structures proposed for the treatment of economic phenomena, we have frequently resorted to the theory of clans and the theory of affinities with results which we believe to be satisfactory. We would like to go further, establishing, if possible, the connection between their axiomatics at the same time as developing some uncertain pretopologies and topologies capable of linking previously unconnected theories, at the same time easing the creation of other new theories.

Fuzziness

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Publisher : Springer Science & Business Media
ISBN 13 : 1461406595
Total Pages : 210 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Fuzziness by : Monika Fuxreiter

Download or read book Fuzziness written by Monika Fuxreiter and published by Springer Science & Business Media. This book was released on 2012-03-07 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed characterization of fuzzy interactions will be of central importance for understanding the diverse biological functions of intrinsically disordered proteins in complex eukaryotic signaling networks. In this volume, Peter Tompa and Monika Fuxreiter have assembled a series of papers that address the issue of fuzziness in molecular interactions. These papers provide a broad overview of the phenomenon of fuzziness and provide compelling examples of the central role played by fuzzy interactions in regulation of cellular signaling processes and in viral infectivity. These contributions summarize the current state of knowledge in this new field and will undoubtedly stimulate future research that will further advance our understanding of fuzziness and its role in biomolecular interactions.

Fuzzy Logic in Medicine

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Publisher : Physica
ISBN 13 : 3790818046
Total Pages : 320 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Fuzzy Logic in Medicine by : Senen Barro

Download or read book Fuzzy Logic in Medicine written by Senen Barro and published by Physica. This book was released on 2013-03-20 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: To say that Fuzzy Logic in Medicine, or FLM for short, is an important addi tion to the literature of fuzzy logic and its applications, is an understatement. Edited by two prominent informaticians, Professors S. Barro and R. Marin, it is one of the first books in its field. Between its covers, FLM presents authoritative expositions of a wide spectrum of medical and biological ap plications of fuzzy logic, ranging from image classification and diagnostics to anaesthesia control and risk assessment of heart diseases. As the editors note in the preface, recognition of the relevance of fuzzy set theory and fuzzy logic to biological and medical systems has a long history. In this context, particularly worthy of note is the pioneering work of Profes sor Klaus Peter Adlassnig of the University of Vienna School of Medicine. However, it is only within the past decade that we began to see an accelerat ing growth in the visibility and importance of publications falling under the rubric of fuzzy logic in medicine and biology -a leading example of which is the Journal of the Biomedical Fuzzy Systems Association in Japan. Why did it take so long for this to happen? First, a bit of history.

Fuzzy Systems and Data Mining VII

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Publisher : IOS Press
ISBN 13 : 1643682156
Total Pages : 494 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Fuzzy Systems and Data Mining VII by : C. Shen

Download or read book Fuzzy Systems and Data Mining VII written by C. Shen and published by IOS Press. This book was released on 2021-11-04 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy systems and data mining are indispensible aspects of the computer systems and algorithms on which the world has come to depend. This book presents papers from FSDM 2021, the 7th International Conference on Fuzzy Systems and Data Mining. The conference, originally due to take place in Seoul, South Korea, was held online on 26-29 October 2021, due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This year, the committee received 266 submissions, and this book contains 52 papers, including keynotes and invited presentations, oral and poster contributions. The papers cover four main areas: 1) fuzzy theory, algorithms and systems – including topics like stability; 2) fuzzy applications – which are widely used and cover various types of processing as well as hardware and architecture for big data and time series; 3) the interdisciplinary field of fuzzy logic and data mining; and 4) data mining itself. The topic most frequently addressed this year is fuzzy systems. The book offers an overview of research and developments in fuzzy logic and data mining, and will be of interest to all those working in the field of data science.

Foundations of Evidence-Based Medicine

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Publisher : CRC Press
ISBN 13 : 0429584350
Total Pages : 400 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Foundations of Evidence-Based Medicine by : Milos Jenicek

Download or read book Foundations of Evidence-Based Medicine written by Milos Jenicek and published by CRC Press. This book was released on 2019-09-19 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text focuses on reasoning, critical thinking and pragmatic decision making in medicine. Based on the author’s extensive experience and filled with definitions, formulae, flowcharts and checklists, this fully revised second edition continues to provide invaluable guidance to the crucial role that clinical epidemiology plays in the expanding field of evidence-based medicine. Key Features: • Considers evidence-based medicine as a universal initiative common to all health sciences and professions, and all specialties within those disciplines • Demonstrates how effective practice is reliant on proper foundations, such as clinical and fundamental epidemiology, and biostatistics • Introduces the reader to basic epidemiological methods, meta-analysis and decision analysis • Shows that structured, modern, argumentative reasoning is required to build the best possible evidence and use it in practice and research • Outlines how to make the most appropriate decisions in clinical care, disease prevention and health promotion Presenting a range of topics seldom seen in a single resource, the innovative blend of informal logic and structured evidence-based reasoning makes this book invaluable for anyone seeking broad, in-depth and readable coverage of this complex and sometimes controversial field.

Soft Computing Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3790817686
Total Pages : 231 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Soft Computing Applications by : Andrea Bonarini

Download or read book Soft Computing Applications written by Andrea Bonarini and published by Springer Science & Business Media. This book was released on 2013-03-20 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers collected in this book are concerned with the application of the so-called "soft-computing" techniques to the aim of defining flexible systems. The topics covered witness the actual research trend towards an integration of distinct formal techniques for defining flexible systems. The contributions in this volume mainly concern the definition of systems in several application fields, such as image processing, control, asset allocation, medicine, time series forecasting, qualitative modeling, support to design, reliability analysis, diagnosis, filtering, data analysis, land mines detection and so forth. The papers presented in this volume are organized into three main thematic sections: Fuzzy Systems, Neural Networks and Genetic and Evolutionary Algorithms, although, as outlined before, some works employ more than one technique from these fields.