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Fuzzy Probabilities

New Approach and Applications

  • Book
  • © 2005

Overview

  • New method of dealing with imprecise probabilities, most of which not published before

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 115)

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Table of contents (16 chapters)

Keywords

About this book

In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because probabilities must add to one. Fuzzy random variables have fuzzy distributions. A fuzzy normal random variable has the normal distribution with fuzzy number mean and variance. Applications are to queuing theory, Markov chains, inventory control, decision theory and reliability theory.

Authors and Affiliations

  • Mathematics Department, University of Alabama at Birmingham, Birmingham

    James J. Buckley

Bibliographic Information

  • Book Title: Fuzzy Probabilities

  • Book Subtitle: New Approach and Applications

  • Authors: James J. Buckley

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/3-540-32388-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2005

  • Hardcover ISBN: 978-3-540-25033-3Published: 11 March 2005

  • Softcover ISBN: 978-3-642-42133-4Published: 23 November 2014

  • eBook ISBN: 978-3-540-32388-4Published: 07 July 2006

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XI, 168

  • Topics: Probability Theory and Stochastic Processes, Artificial Intelligence

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