Analyzing Risk through Probabilistic Modeling in Operations Research

Analyzing Risk through Probabilistic Modeling in Operations Research

Dariusz Jacek Jakóbczak (Technical University of Koszalin, Poland)
Release Date: November, 2015|Copyright: © 2016 |Pages: 441
ISBN13: 9781466694583|ISBN10: 1466694580|EISBN13: 9781466694590|DOI: 10.4018/978-1-4666-9458-3

Description

Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making.

Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.

Topics Covered

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

  • Data Analysis
  • Data Extrapolation
  • Data Simulation
  • Decision Making
  • Mathematical Modeling
  • Operations research
  • Probabilistic Methods
  • Probabilistic Optimization
  • Stochastic Methods
  • Time-Tabling

Reviews and Testimonials

Researchers and practitioners in business and economics discuss probabilistic modeling in risk analysis and decision making and risk management, and cite case studies from business. Among their topics are perfect partners of mathematical modeling and technology in risk assessment, a sequential probabilistic system for bankruptcy data classification, simulation output analysis and risk management, multi-attribute decision making in risk analysis, and applying probabilistic risk assessment to safety risk analysis in aviation.

– ProtoView Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland. From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Technical University of Koszalin, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests tie mathematics with computer science and include computer vision, shape representation, curve interpolation, contour reconstruction and geometric modeling, probabilistic methods and discrete mathematics.