Soft Computing for Information Processing and Analysis

Soft Computing for Information Processing and Analysis

Studies in Fuzziness and Soft Computing, Volume 164 Masoud Nikravesh Lotfi A. Zadeh Janusz Kacprzyk (Eds.) Soft ... J. Rajapakse, L. Wang (Eds.) Neural Information Processing: Research and Development, 2004 ISBN 3-540-21123-3 Vol. 153.

Author: Masoud Nikravesh

Publisher: Springer

ISBN: 9783540323655

Category: Computers

Page: 456

View: 292

Search engines, with Google at the top, have become the most heavily used online service, with millions of searches performed every day and many remarkable capabilities. Soft Computing for Information Processing and Analysis includes reports from the front of soft computing in the internet industry and imparts knowledge and understanding of the significance of the field's accomplishments, new developments and future directions. This carefully edited book has evolved from presentations made by the participants of a meeting entitled "Fuzzy Logic and the Internet: Enhancing the Power of the Internet", organized by the Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley. It addresses the important topics of modern search engines such as fuzzy query, decision analysis and support systems, including articles about topics such as Web Intelligence, World Knowledge and Fuzzy Logic (by Lotfi A. Zadeh), perception based information processing, or web intelligence.
Categories: Computers

Handbook of Research on Fuzzy Information Processing in Databases

Handbook of Research on Fuzzy Information Processing in Databases

In M. Nikravesh, L. Zadeh, & J. Kacprzyk (Eds.), Soft computing for information processing and analysis (pp. 275-284). Dubois, D., & Prade, H. (1988). Possibility theory: An approach to computerized processing of uncertainty.

Author: Galindo, Jos‚

Publisher: IGI Global

ISBN: 9781599048543

Category: Computers

Page: 899

View: 689

"This book provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. It offers a guide to fuzzy information processing in databases"--Provided by publisher.
Categories: Computers

Recent Developments and New Directions in Soft Computing

Recent Developments and New Directions in Soft Computing

105–106 (1998) Nikravesh, M., Zadeh, L.A., Kacprzyk, J.: Soft Computing for Information Processing and Analysis, pp. 93–99. Springer, New York (2005) Heaton, J.: Introduction to Neural Networks for C #, 2nd edn, pp. 224–231.

Author: Lotfi A. Zadeh

Publisher: Springer

ISBN: 9783319063232

Category: Technology & Engineering

Page: 466

View: 134

The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.
Categories: Technology & Engineering

Fifty Years of Fuzzy Logic and its Applications

Fifty Years of Fuzzy Logic and its Applications

In: Fourth International Conference on Application of Fuzzy Systems and Soft Computing, pp. 308–313. Siegen, Germany (2000) 2. ... Nikravesh, M., Zadeh, L.A., Kacprzyk, J.: Soft Computing for Information Processing and Analysis, pp.

Author: Dan E. Tamir

Publisher: Springer

ISBN: 9783319196831

Category: Technology & Engineering

Page: 684

View: 717

This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.
Categories: Technology & Engineering

Knowledge Incorporation in Evolutionary Computation

Knowledge Incorporation in Evolutionary Computation

Studies in Fuzziness and Soft Computing, Volume 167 Yaochu Jin (Ed.) Knowledge Incorporation in Evolutionary Computation %) ... M. Nikravesh, L.A. Zadeh, J. Kacprzyk (Eds.) Soft Computing for Information Processing and Analysis, ...

Author: Yaochu Jin

Publisher: Springer

ISBN: 9783540445111

Category: Mathematics

Page: 548

View: 462

Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.
Categories: Mathematics

Intelligent Multimedia Processing with Soft Computing

Intelligent Multimedia Processing with Soft Computing

A. Ghosh, L.C. Jain (Eds.) Evolutionary Computation in Data Mining, 2005 ISBN 3-540-22370-3 Vol. 164. M. Nikravesh, L.A. Zadeh, J. Kacprzyk (Eds.) Soft Computing for Information Prodessing and Analysis, 2005 ISBN 3-540-22930-2 Vol. 165.

Author: Yap Peng Tan

Publisher: Springer

ISBN: 9783540323679

Category: Computers

Page: 473

View: 514

Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As - posed to conventional "hard" computing, these techniques tolerate impre- sion and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been published in many dis- plines in numerous journals, conferences, as well as the excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in multimedia processing. The book is composed of 21 chapters written by experts in their respective fields, addressing various important and timely problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, processing and filtering, etc. In the chapter authored by Guan, Muneesawang, Lay, Amin, and Lee, a radial basis function network with Laplacian mixture model is employed to perform image and video retrieval. D. Androutsos, P. Androutsos, Plataniotis, and Venetsanopoulos investigate color image indexing and retrieval within a small-world framework. Wu and Yap develop a framework of fuzzy relevance feedback to model the uncertainty of users' subjective perception in image retrieval.
Categories: Computers

Soft Computing in Computer and Information Science

Soft Computing in Computer and Information Science

Sałabun, W.: Processing and spectral analysis of the raw. 1. Burduk, R.: Recognition task with feature selection and weighted majority voting based on interval-valued fuzzy sets in computational collective intelligence.

Author: Antoni Wiliński

Publisher: Springer

ISBN: 9783319151472

Category: Technology & Engineering

Page: 446

View: 305

This book presents a carefully selected and reviewed collection of papers presented during the 19th Advanced Computer Systems conference ACS-2014. The Advanced Computer Systems conference concentrated from its beginning on methods and algorithms of artificial intelligence. Further future brought new areas of interest concerning technical informatics related to soft computing and some more technological aspects of computer science such as multimedia and computer graphics, software engineering, web systems, information security and safety or project management. These topics are represented in the present book under the categories Artificial Intelligence, Design of Information and Multimedia Systems, Information Technology Security and Software Technologies.
Categories: Technology & Engineering

Soft Computing in Information Communication Technology

Soft Computing in Information Communication Technology

The Information Processing Based on Attention Allocation Zongsheng Wang School of Economics, Tianjin Polytechnic University, ... From relative quantity analysis of attention allocation, this paper has deduced the rule that tolerance of ...

Author: Jia Luo

Publisher: Springer Science & Business Media

ISBN: 9783642294525

Category: Technology & Engineering

Page: 540

View: 191

This book is a collection of the accepted papers concerning soft computing in information communication technology. The resultant dissemination of the latest research results, and the exchanges of views concerning the future research directions to be taken in this field makes the work of immense value to all those having an interest in the topics covered. The present book represents a cooperative effort to seek out the best strategies for effecting improvements in the quality and the reliability of Fuzzy Logic, Machine Learning, Cryptography, Pattern Recognition, Bioinformatics, Biomedical Engineering, Advancements in ICT.
Categories: Technology & Engineering

Intelligent Information Processing and Web Mining

Intelligent Information Processing and Web Mining

The first method is Grade Cluster Correspondence Analysis (GCCA), created in the Institute of Computer Science of the Polish ... Grade Multivariate Analysis, implemented in a software package called GradeStat (for more information and ...

Author: Mieczyslaw A. Klopotek

Publisher: Springer Science & Business Media

ISBN: 9783540335214

Category: Computers

Page: 542

View: 930

This volume contains selected papers, presented at the international conference on Intelligent Information Processing and Web Mining Conference IIS:IIPWM'06, organized in Ustro (Poland), 2006. The submitted papers cover new computing paradigms, among others in biologically motivated methods, advanced data analysis, new machine learning paradigms, natural language processing, new optimization technologies, applied data mining using statistical and non-standard approaches.
Categories: Computers

Soft Computing for Image Processing

Soft Computing for Image Processing

Soft Computing and Image Analysis : Features, Relevance and Hybridization Sankar K. Pal, Ashish Ghosh, ... in one form or another, flexible information processing capabilities for handling real life ambiguous situations.

Author: Sankar K. Pal

Publisher: Physica

ISBN: 9783790818581

Category: Computers

Page: 591

View: 900

Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets; for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important in choosing the parameters of filters, quantizers, etc.
Categories: Computers