Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems
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Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems

S. Chakraverty (National Institute of Technology - Rourkela, India)
Indexed In: INSPEC, SCOPUS View 2 More Indices
Release Date: January, 2014|Copyright: © 2014 |Pages: 441
ISBN13: 9781466649910|ISBN10: 1466649917|EISBN13: 9781466649927|DOI: 10.4018/978-1-4666-4991-0


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Differential Equations
  • Dynamic Analysis
  • Fluid Dynamics Problems
  • Fuzzy Differential Equations
  • Interval Computation
  • Soft Computing
  • Uncertainty modeling

Reviews and Testimonials

Papers in this collection include everything from interval mathematics as a potential weapon against uncertainty, hybrid set structures for soft computing, and reaction-diffusion problems with stochastic parameters. This title provides a new approach for computational intelligence in mathematics.

– Mathematical Reviews, The American Mathematical Society, October 2015

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Dr. S. Chakraverty a Professor of Mathematics in National Institute of Technology Rourkela, India, Ph. D. from IIT Roorkee and post-doctoral research from ISVR, University of Southampton, U.K. and Concordia University, Canada. He was visiting professor at Concordia and McGill university and presently of University of Johannesburg, South Africa. He published three books, 120 research papers, reviewer of many international journals, recipient of CSIR Young Scientist, BOYSCAST, UCOST, Golden Jubilee CBRI, INSA International Bilateral Exchange and Roorkee University gold medal awards. His research area includes mathematical Modeling, Soft computing, Machine Intelligence, Vibration and Inverse Vibration and Numerical analysis.