Extended Kalman filter based fuzzy adaptive filter


Wong, Wai Kit and Lim, Heng Siong (2009) Extended Kalman filter based fuzzy adaptive filter. In: Kalman Filter: Recent Advances and Applications. I-Tech Education and Publishing KG, Vienna, Austria, pp. 87-120. ISBN 978-953-307-000-1

[img] Text
Restricted to Repository staff only

Download (755kB)


In classical logic, every statement is either true or false, i.e., it has a truth value of 1 or 0. Classical sets impose rigid membership requirements. Fuzzy logic, which is the principle of imprecise knowledge, was introduced by Lofti A. Zadeh in 1965 (Zadeh, L. A., 1965). It is an extension of classical logic dealing with the partial truth concept. Every statement in fuzzy logic is a matter of degree and exact reasoning is viewed as a limiting case of approximate reasoning. In fuzzy logic, classical/Boolean truth value is replaced with degree of truth. Degree of truth denotes the extent to which a proposition is true. In fuzzy logic, the degree of truth of a proposition may be any real number between 0 and 1, inclusive. This fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition.

Item Type: Book Section
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Dec 2013 02:18
Last Modified: 29 Dec 2020 17:15
URII: http://shdl.mmu.edu.my/id/eprint/4636


Downloads per month over past year

View ItemEdit (login required)