Soft Methodology And Random Information Systems

Author : Miguel Concepcion Lopez-Diaz
Publisher : Springer Science & Business Media
ISBN 13 : 3540444653
Total Pages : 769 pages
Book Rating : 4.57/5 ( download)

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Download or read book Soft Methodology and Random Information Systems written by Miguel Concepcion Lopez-Diaz and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Miguel Concepcion Lopez-Diaz
Publisher :
ISBN 13 : 9783642535932
Total Pages : 776 pages
Book Rating : 4.33/5 ( download)

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Download or read book Soft Methodology and Random Information Systems written by Miguel Concepcion Lopez-Diaz and published by . This book was released on 2014-01-15 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Jonathan Lawry
Publisher : Springer Science & Business Media
ISBN 13 : 3540347771
Total Pages : 413 pages
Book Rating : 4.74/5 ( download)

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Download or read book Soft Methods for Integrated Uncertainty Modelling written by Jonathan Lawry and published by Springer Science & Business Media. This book was released on 2007-10-08 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Marek Kurzynski
Publisher : Springer Science & Business Media
ISBN 13 : 3540751742
Total Pages : 1745 pages
Book Rating : 4.48/5 ( download)

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Download or read book Computer Recognition Systems 2 written by Marek Kurzynski and published by Springer Science & Business Media. This book was released on 2007-10-15 with total page 1745 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Patricia Melin
Publisher : Springer Science & Business Media
ISBN 13 : 354072432X
Total Pages : 856 pages
Book Rating : 4.22/5 ( download)

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Download or read book Analysis and Design of Intelligent Systems Using Soft Computing Techniques written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2007-09-20 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 3540323910
Total Pages : 1357 pages
Book Rating : 4.14/5 ( download)

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Download or read book Soft Computing as Transdisciplinary Science and Technology written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2007-12-14 with total page 1357 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Gholamreza Hesamian
Publisher : CRC Press
ISBN 13 : 1000539822
Total Pages : 452 pages
Book Rating : 4.20/5 ( download)

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Download or read book Fuzzy Statistical Inferences Based on Fuzzy Random Variables written by Gholamreza Hesamian and published by CRC Press. This book was released on 2022-02-24 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas used in statistical inferences in one place, based on fuzzy information including fuzzy data. This book covers a much wider range of topics than a typical introductory text on fuzzy statistics. It includes common topics like elementary probability, descriptive statistics, hypothesis tests, one-way ANOVA, control-charts, reliability systems and regression models. The reader is assumed to know calculus and a little fuzzy set theory. The conventional knowledge of probability and statistics is required. Key Features: Includes example in Mathematica and MATLAB. Contains theoretical and applied exercises for each section. Presents various popular methods for analyzing fuzzy data. The book is suitable for students and researchers in statistics, social science, engineering, and economics, and it can be used at graduate and P.h.D level.

Author : Zengchang Qin
Publisher : Springer
ISBN 13 : 3642412513
Total Pages : 303 pages
Book Rating : 4.16/5 ( download)

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Download or read book Uncertainty Modeling for Data Mining written by Zengchang Qin and published by Springer. This book was released on 2014-10-30 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning. Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China.

Author : Marek Kurzynski
Publisher : Springer Science & Business Media
ISBN 13 : 3540323902
Total Pages : 895 pages
Book Rating : 4.07/5 ( download)

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Download or read book Computer Recognition Systems written by Marek Kurzynski and published by Springer Science & Business Media. This book was released on 2007-12-13 with total page 895 pages. Available in PDF, EPUB and Kindle. Book excerpt: th This book contains papers accepted for presentation at the 4 International Conference on Computer Recognition Systems CORES'05, May 22-25, 2005, Rydzyna Castle (Poland), This conference is a continuation of a series of con ferences on similar topics (KOSYR) organized each second year, since 1999, by the Chair of Systems and Computer Networks, Wroclaw University of Tech nology. An increasing interest to those conferences paid not only by home but also by foreign participants inspired the organizers to transform them into conferences of international range. Our expectations that the community of specialists in computer recognizing systems will find CORES'05 a proper form of maintaining the tradition of the former conferences have been confirmed by a large number of submitted papers. Alas, organizational constraints caused a necessity to narrow the acceptance criteria so that only 100 papers have been finally included into the conference program. The area covered by accepted papers is still very large and it shows how vivacious is scientific activity in the domain of computer recognition methods and systems. It contains vari ous theoretical approaches to the recognition problem based on mathematical statistics, fuzzy sets, morphological methods, wavelets, syntactic methods, genetic algorithms, artificial neural networks, ontological models, etc. Most attention is still paid to visual objects recognition; however, acoustic, tex tual and other objects are also considered. Among application areas medical problems are in majority; recognition of faces, speech signals and textual in formation processing methods being also investigated.

Author : Bing-Yuan Cao
Publisher : Springer Science & Business Media
ISBN 13 : 3540714413
Total Pages : 1038 pages
Book Rating : 4.15/5 ( download)

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Download or read book Fuzzy Information and Engineering written by Bing-Yuan Cao and published by Springer Science & Business Media. This book was released on 2007-07-07 with total page 1038 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second International Conference on Fuzzy Information and Engineering (ICFIE2007) is a major symposium for scientists, engineers and practitioners in China as well as the world to present their latest results, ideas, developments and applications in all areas of fuzzy information and knowledge engineering. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists.