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eBook Mathematics of Uncertainty: Ideas, Methods, Application Problems (Studies in Fuzziness and Soft Computing) download
IT
Author: Hans Bandemer
ISBN: 3540284575
Subcategory: Computer Science
Pages 190 pages
Publisher Springer; 2006 edition (December 19, 2005)
Language English
Category: IT
Rating: 4.8
Votes: 882
ePUB size: 1162 kb
FB2 size: 1931 kb
DJVU size: 1859 kb
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eBook Mathematics of Uncertainty: Ideas, Methods, Application Problems (Studies in Fuzziness and Soft Computing) download

by Hans Bandemer


Studies in Fuzziness and Soft Computing. Ideas, Methods, Application Problems. Authors: Bandemer, Hans. This book is about mathematical modeling and analysis of uncertainty in real-world problems.

Studies in Fuzziness and Soft Computing. Mathematics of Uncertainty. The book is recommended for all who deal with complex data, especially in the social sciences and intelligence technology.

Mathematics of Uncertainty: Ideas, Methods, Application Problems (Studies in Fuzziness and Soft Computing). Hans-Walter Bandemer, H. Bandemer

Mathematics of Uncertainty: Ideas, Methods, Application Problems (Studies in Fuzziness and Soft Computing). Bandemer, Download (pdf, . 6 Mb) Donate Read. Epub FB2 mobi txt RTF. Converted file can differ from the original. If possible, download the file in its original format.

oceedings{icsOU, title {Mathematics of Uncertainty: Ideas, Methods, Application . Minimizing Impact of Bounded Uncertainty on McNaughton's Scheduling Algorithm via Interval Programming

oceedings{icsOU, title {Mathematics of Uncertainty: Ideas, Methods, Application Problems (Studies in Fuzziness and Soft Computing)}, author {Hans-Walter Bandemer}, year {2006} }. Hans-Walter Bandemer. Minimizing Impact of Bounded Uncertainty on McNaughton's Scheduling Algorithm via Interval Programming. Ahmad Hossny, Saeid Nahavandi, Douglas C. Creighton. 2013 IEEE International Conference on Systems, Man, and Cybernetics. Minimizing bounded uncertainty impact on scheduling with earliest start and due-date constraints via interval computation.

Автор: Bandemer Hans Название: Mathematics of Uncertainty, Ideas, Methods .

Электронная книга "Mathematics of Uncertainty: Ideas, Methods, Application Problems", Hans Bandemer

Электронная книга "Mathematics of Uncertainty: Ideas, Methods, Application Problems", Hans Bandemer. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Mathematics of Uncertainty: Ideas, Methods, Application Problems" для чтения в офлайн-режиме.

Besides these basic ideas the book also presents methods of qualitative data analysis such as cluster analysis and classification, and o. .

Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. Besides these basic ideas the book also presents methods of qualitative data analysis such as cluster analysis and classification, and of evaluation of functional relationships such as regression analysis and quantitative fuzzy data analysis.

Series: Studies in Fuzziness and Soft Computing Ser. File: PDF, . 3 M. Other readers will always be interested in your opinion of the books you've read. 3 MB. Читать онлайн. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Распространяем знания с 2009.

Ideas and approaches of Walter Gropius and Miss van der Rohe, still have a noticeable impact on American educational strategies an.

Applications of uncertainties with memory in fuzzy rule-based systems in chemical technology and in the petroleum industry are discussed. Ideas and approaches of Walter Gropius and Miss van der Rohe, still have a noticeable impact on American educational strategies and practices.

"Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of themathematical fields of uncertainty from simple interpolation to wavelets, from error propagation to fuzzy sets and neural networks. The book presents the treatment of problems of interpolation and approximation, as well as observation fuzziness which can essentially influence the preciseness and reliability of statements on functional relationships. The notions of randomness and probability are examined as a model for the variability of observation and measurement results. Besides these basic ideas the book also presents methods of qualitative data analysis such as cluster analysis and classification, and of evaluation of functional relationships such as regression analysis and quantitative fuzzy data analysis.