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Fuzzy Systems in Bioinformatics and Computational Biology

Fuzzy Systems in Bioinformatics and Computational Biology PDF Author: Yaochu Jin
Publisher: Springer Science & Business Media
ISBN: 3540899677
Category : Computers
Languages : en
Pages : 336

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Book Description
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.

Fuzzy Systems in Bioinformatics and Computational Biology

Fuzzy Systems in Bioinformatics and Computational Biology PDF Author: Yaochu Jin
Publisher: Springer Science & Business Media
ISBN: 3540899677
Category : Computers
Languages : en
Pages : 336

View

Book Description
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.

Applications of Fuzzy Logic in Bioinformatics

Applications of Fuzzy Logic in Bioinformatics PDF Author: Dong Xu
Publisher: World Scientific
ISBN: 1848162588
Category : Computers
Languages : en
Pages : 246

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Book Description
A man disappears. The woman who loves him is left scarred and haunted. In her fierce, one-of-a-kind debut, Rebecca Lindenberg tells the story—in verse—of her passionate relationship with Craig Arnold, a much-respected poet who disappeared in 2009 while hiking a volcano in Japan. Lindenberg’s billowing, I-contain-multitudes style lays bare the poet’s sadnesses, joys, and longings in poems that are lyric and narrative, at once plainspoken and musically elaborate. Regarding her role in Arnold’s story, Lindenberg writes with clear-eyed humility and endearing dignity: “The girl with the ink-stained teeth / knows she’s famous / in a tiny, tragic way. / She’s not / daft, after all.” And then later, playfully, of her travels in Italy with the poet, her lover: “The carabinieri / wanted to know if there were bears / in our part of America. Yes, we said, / many bears. Man-eating bears? Yes, of course, / many man-eating bears.” Every poem in this collection bursts with humor, pathos, verve—and an utterly unique, soulful voice. This widely anticipated debut, already selected as a finalist for several prominent book awards, marks the first collection in the newly minted McSweeney’s Poetry Series. MPS is an imprint which seeks to publish a broad range of excellent new poetry collections in exquisitely designed hardcovers—poetry that’s useful and meaningful to anyone in any walk of life.

Design of Interpretable Fuzzy Systems

Design of Interpretable Fuzzy Systems PDF Author: Krzysztof Cpałka
Publisher: Springer
ISBN: 3319528815
Category : Technology & Engineering
Languages : en
Pages : 196

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Book Description
This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base. The individual chapters describe various aspects of interpretability, including appropriate selection of the structure of a fuzzy system, focusing on improving the interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction does not adversely affect system accuracy. It illustrates the performance of the developed algorithms and methods with commonly used benchmarks. The book provides valuable tools for possible applications in many fields including expert systems, automatic control and robotics.

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications PDF Author: Edwin Lughofer
Publisher: Springer Science & Business Media
ISBN: 3642180868
Category : Mathematics
Languages : en
Pages : 467

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Book Description
In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications PDF Author: Oscar Castillo
Publisher: Springer Nature
ISBN: 3030354458
Category : Technology & Engineering
Languages : en
Pages : 792

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Book Description
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Fuzzy Logic-Based Algorithms for Video De-Interlacing

Fuzzy Logic-Based Algorithms for Video De-Interlacing PDF Author: Piedad Brox
Publisher: Springer
ISBN: 3642106951
Category : Computers
Languages : en
Pages : 174

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Book Description
The ‘Fuzzy Logic’ research group of the Microelectronics Institute of Seville is composed of researchers who have been doing research on fuzzy logic since the beginning of the 1990s. Mainly, this research has been focused on the microel- tronic design of fuzzy logic-based systems using implementation techniques which range from ASICs to FPGAs and DSPs. Another active line was the development of a CAD environment, named Xfuzzy, to ease such design. Several versions of Xfuzzy have been and are being currently developed by the group. The addressed applications had basically belonged to the control ?eld domain. In this sense, s- eral problems without a linear control solution had been studied thoroughly. Some examples are the navigation control of an autonomous mobile robot and the level control of a dosage system. The research group tackles a new activity with the work developed in this book: the application of fuzzy logic to video and image processing. We addressed our interest to problems related to pixel interpolation, with the aim of adapting such interpolation to the local features of the images. Our hypothesis was that measures and decisions to solve image interpolation, which traditionally had been done in a crisp way, could better be done in a fuzzy way. Validation of this general hypothesis has been done speci?cally in the interpolation problem of video de-interlacing. - interlacing is one of the main tasks in video processing.

KI 2009: Advances in Artificial Intelligence

KI 2009: Advances in Artificial Intelligence PDF Author: Marcus Hund
Publisher: Springer Science & Business Media
ISBN: 3642046169
Category : Computers
Languages : en
Pages : 757

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Book Description
This book constitutes the thoroughly refereed proceedings of the 32nd Annual German Conference on Artificial Intelligence, KI 2009, held in Paderborn, Germany, in September 2009. The 76 revised full papers presented together with 15 posters were carefully reviewed and selected from 126 submissions. The papers are divided in topical sections on planning and scheduling; vision and perception; machine learning and data mining; evolutionary computing; natural language processing; knowledge representation and reasoning; cognition; history and philosophical foundations; AI and engineering; automated reasoning; spatial and temporal reasoning; agents and intelligent virtual environments; experience adn knowledge management; and robotics.

Efficient Decision Support Systems

Efficient Decision Support Systems PDF Author: Chiang Jao
Publisher: BoD – Books on Demand
ISBN: 9533073268
Category : Computers
Languages : en
Pages : 560

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Book Description
This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers.

Foundations of Reasoning Under Uncertainty

Foundations of Reasoning Under Uncertainty PDF Author: Bernadette Bouchon
Publisher: Springer Science & Business Media
ISBN: 3642107265
Category : Computers
Languages : en
Pages : 272

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Book Description
This book draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Málaga, Spain. The conference brought together some of the world’s leading experts in the study of uncertainty.

Fuzzy Systems Engineering

Fuzzy Systems Engineering PDF Author: Witold Pedrycz
Publisher: John Wiley & Sons
ISBN: 9780470168950
Category : Technology & Engineering
Languages : en
Pages : 544

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Book Description
A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative material Forty years have passed since the birth of fuzzy sets, in which time a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and other applications have emerged. Now, this reader-friendly book presents an up-to-date approach to fuzzy systems engineering, covering concepts, design methodologies, and algorithms coupled with interpretation, analysis, and underlying engineering knowledge. The result is a holistic view of fuzzy sets as a fundamental component of computational intelligence and human-centric systems. Throughout the book, the authors emphasize the direct applicability and limitations of the concepts being discussed, and historical and bibliographical notes are included in each chapter to help readers view the developments of fuzzy sets from a broader perspective. A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology. Additionally, three appendices and classroom-ready electronic resources make it an ideal textbook for advanced undergraduate- and graduate-level courses in engineering and science.