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Mathematics of uncertainty modeling in the analysis of engineering and science problems
For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments, and applications are vital in dealing with the parameters taken to simplify the problem...
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Lenguaje: | eng |
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Information Science Reference
2014
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Acceso en línea: | https://dx.doi.org/10.4018/978-1-4666-4991-0 http://cds.cern.ch/record/1950568 |
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author | Chakraverty, S |
author_facet | Chakraverty, S |
author_sort | Chakraverty, S |
collection | CERN |
description | For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments, and applications are vital in dealing with the parameters taken to simplify the problem. Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems. |
id | cern-1950568 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Information Science Reference |
record_format | invenio |
spelling | cern-19505682021-04-21T20:53:31Zdoi:10.4018/978-1-4666-4991-0http://cds.cern.ch/record/1950568engChakraverty, SMathematics of uncertainty modeling in the analysis of engineering and science problemsMathematical Physics and MathematicsFor various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments, and applications are vital in dealing with the parameters taken to simplify the problem. Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.Information Science Referenceoai:cds.cern.ch:19505682014 |
spellingShingle | Mathematical Physics and Mathematics Chakraverty, S Mathematics of uncertainty modeling in the analysis of engineering and science problems |
title | Mathematics of uncertainty modeling in the analysis of engineering and science problems |
title_full | Mathematics of uncertainty modeling in the analysis of engineering and science problems |
title_fullStr | Mathematics of uncertainty modeling in the analysis of engineering and science problems |
title_full_unstemmed | Mathematics of uncertainty modeling in the analysis of engineering and science problems |
title_short | Mathematics of uncertainty modeling in the analysis of engineering and science problems |
title_sort | mathematics of uncertainty modeling in the analysis of engineering and science problems |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.4018/978-1-4666-4991-0 http://cds.cern.ch/record/1950568 |
work_keys_str_mv | AT chakravertys mathematicsofuncertaintymodelingintheanalysisofengineeringandscienceproblems |