The Mamdani fuzzy inference algorithm

Khan, Imran Moez and Htike@Muhammad Yusof, Zaw Zaw and Khalifa, Othman Omran and Lai, Weng Kin (2011) The Mamdani fuzzy inference algorithm. In: Human Behaviour Recognition,Iidentification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 138-144. ISBN 978-967-418-156-7

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Abstract

Fuzzy logic is simply the operations of fuzzification, conjunction, disjunction, complement,defuzzification etc. on fuzzy sets. It is generally carried out using the degree of membership that has been discussed so far. The fuzzification step is usually performed on data being input into a system. In the Mamdani fuzzy inference methodology this fuzzified input data to trigger a number of weighted IF-THEN rules that govern the system's behaviour. The firing strength of these rules is determined by separate steps that can also be optimized for design. After individual firing strengths are computed, they are then fed into the system function and the final system output is determined by a defuzzification step.

Item Type:	Book Chapter
Additional Information:	4119/21650
Uncontrolled Keywords:	Mamdani fuzzy inference algorithm
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	04 Sep 2012 16:17
Last Modified:	19 Nov 2020 11:09
URI:	http://irep.iium.edu.my/id/eprint/21650

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