The Mamdani fuzzy inference algorithm

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. I...

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Main Authors:	Khan, Imran Moez, Htike@Muhammad Yusof, Zaw Zaw, Khalifa, Othman Omran, Lai, Weng Kin
Format:	Book Chapter
Language:	English
Published:	IIUM Press 2011
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/21650/ http://irep.iium.edu.my/21650/ http://irep.iium.edu.my/21650/1/Chapter_17.pdf

id	iium-21650
recordtype	eprints
spelling	iium-216502015-06-01T01:29:27Z http://irep.iium.edu.my/21650/ The Mamdani fuzzy inference algorithm Khan, Imran Moez Htike@Muhammad Yusof, Zaw Zaw Khalifa, Othman Omran Lai, Weng Kin TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21650/1/Chapter_17.pdf 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 http://rms.research.iium.edu.my/bookstore/default.aspx
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Khan, Imran Moez Htike@Muhammad Yusof, Zaw Zaw Khalifa, Othman Omran Lai, Weng Kin The Mamdani fuzzy inference algorithm
description	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.
format	Book Chapter
author	Khan, Imran Moez Htike@Muhammad Yusof, Zaw Zaw Khalifa, Othman Omran Lai, Weng Kin
author_facet	Khan, Imran Moez Htike@Muhammad Yusof, Zaw Zaw Khalifa, Othman Omran Lai, Weng Kin
author_sort	Khan, Imran Moez
title	The Mamdani fuzzy inference algorithm
title_short	The Mamdani fuzzy inference algorithm
title_full	The Mamdani fuzzy inference algorithm
title_fullStr	The Mamdani fuzzy inference algorithm
title_full_unstemmed	The Mamdani fuzzy inference algorithm
title_sort	mamdani fuzzy inference algorithm
publisher	IIUM Press
publishDate	2011
url	http://irep.iium.edu.my/21650/ http://irep.iium.edu.my/21650/ http://irep.iium.edu.my/21650/1/Chapter_17.pdf
first_indexed	2023-09-18T20:32:58Z
last_indexed	2023-09-18T20:32:58Z
_version_	1777408859135016960

The Mamdani fuzzy inference algorithm

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