|
" Fuzzy Probabilities "
by James J. Buckley.
Document Type
|
:
|
BL
|
Record Number
|
:
|
578528
|
Doc. No
|
:
|
b407747
|
Main Entry
|
:
|
Buckley, James J.
|
Title & Author
|
:
|
Fuzzy Probabilities : New Approach and Applications /\ by James J. Buckley.
|
Publication Statement
|
:
|
Heidelberg :: Physica-Verlag HD,, 2003.
|
Series Statement
|
:
|
Studies in Fuzziness and Soft Computing,; 115
|
ISBN
|
:
|
9783642867866
|
|
:
|
: 9783642867880
|
Contents
|
:
|
Introduction -- Fuzzy Sets -- Fuzzy Probability Theory -- Discrete Fuzzy Random Variables -- Fuzzy Queuing Theory -- Fuzzy Markov Chains -- Fuzzy Decisions Under Risk -- Continuous Fuzzy Random Variables -- Fuzzy Inventory Control -- Joint Fuzzy Probability Distributions -- Applications of Joint Distributions -- Functions of a Fuzzy Random Variable -- Functions of Fuzzy Random Variables -- Law of Large Numbers -- Sums of Fuzzy Random Variables -- Conclusions and Future Research -- Index.
|
Abstract
|
:
|
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.
|
Subject
|
:
|
Computer science.
|
Subject
|
:
|
Artificial intelligence.
|
Added Entry
|
:
|
SpringerLink (Online service)
|
| |