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Fuzzy probabilities: new approach and applications

By: Material type: TextTextSeries: Studies in fuzziness and soft computing, 115Publication details: Berlin Springer 2005. Description: xi, 164 pISBN:
  • 9783540250333
Subject(s): DDC classification:
  • 519.1
Summary: 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.
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-B / Slot 1394 (0 Floor, East Wing) General Stacks 519.1 B8F8 (Browse shelf(Opens below)) Available 160286

Includes bibliographical references and index.

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.

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