|
| |
VIEW
TOC [PDF
Full-Text (328 KB)] PREV NEXT ABSTRACT
PLUS
You are not currently logged in. Guests
may access abstract/citation records free of charge. Click
here to log in.
You may purchase the PDF full-text
document for up to three (3) downloads within 30 days.
Event-tree analysis by fuzzy
probability
Kenarangui, R.
Dept. of Electr. Eng., Tabriz Univ.;
This paper appears in: Reliability,
IEEE Transactions on
Publication Date: Apr 1991
On page(s): 120-124
Volume: 40, Issue:
1
ISSN:
0018-9529
References Cited:
10
CODEN: IERQAD
Abstract:
A method is presented for dealing with
event-tree analysis under uncertainty. Fuzzy-set logic is used to
account for imprecision and uncertainty in data while employing
event-tree analysis. The fuzzy event-tree logic allows the use of
verbal statements for the probabilities and consequences, such as
very high, moderate, and low probability. The technique permits an
analysis of the qualitative evaluation of the event tree to gain the
quantitative results. The application of fuzzy event trees is
further demonstrated by using a set of event trees for an electric
power protection system to assess the viability of the method in
complex situations
VIEW
TOC [PDF
Full-Text (328 KB)] PREV NEXT ABSTRACT
PLUS
| |
