Fuzzy set theory

Fuzzy set theory was introduced in 1965 by Dr. Lotfi Zadeh to represent/manipulate data and information possessing nonstatistical uncertainties. He has developed considerably since its inception. Although initially the new and revolutionary ideas were viewed controversially in the realm of mathemat...

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Bibliographic Details
Main Authors: Khan, Imran Moez, Htike@Muhammad Yusof, Zaw Zaw, Khalifa, Othman Omran
Format: Book Chapter
Language:English
Published: IIUM Press 2011
Subjects:
Online Access:http://irep.iium.edu.my/21649/
http://irep.iium.edu.my/21649/
http://irep.iium.edu.my/21649/1/Chapter_16.pdf
id iium-21649
recordtype eprints
spelling iium-216492015-06-01T01:19:18Z http://irep.iium.edu.my/21649/ Fuzzy set theory Khan, Imran Moez Htike@Muhammad Yusof, Zaw Zaw Khalifa, Othman Omran TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Fuzzy set theory was introduced in 1965 by Dr. Lotfi Zadeh to represent/manipulate data and information possessing nonstatistical uncertainties. He has developed considerably since its inception. Although initially the new and revolutionary ideas were viewed controversially in the realm of mathematics, they were more welcomed in several fields of engineering, especially control engineering, as they provided a good interface with real world applications of mathematics. The main advantage of fuzzy mathematics is that practical situations can be represented in more than one condition and mathematically rigorous calculations can be performed without the need to restrict the problem in only one representation. One automatic consequence of this is that fuzzy mathematics allows for much more realistic models of real-world situations - a need keenly felt in intelligent video surveillance IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21649/1/Chapter_16.pdf Khan, Imran Moez and Htike@Muhammad Yusof, Zaw Zaw and Khalifa, Othman Omran (2011) Fuzzy set theory. In: Human Behaviour Recognition,Iidentification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 129-137. 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
Fuzzy set theory
description Fuzzy set theory was introduced in 1965 by Dr. Lotfi Zadeh to represent/manipulate data and information possessing nonstatistical uncertainties. He has developed considerably since its inception. Although initially the new and revolutionary ideas were viewed controversially in the realm of mathematics, they were more welcomed in several fields of engineering, especially control engineering, as they provided a good interface with real world applications of mathematics. The main advantage of fuzzy mathematics is that practical situations can be represented in more than one condition and mathematically rigorous calculations can be performed without the need to restrict the problem in only one representation. One automatic consequence of this is that fuzzy mathematics allows for much more realistic models of real-world situations - a need keenly felt in intelligent video surveillance
format Book Chapter
author Khan, Imran Moez
Htike@Muhammad Yusof, Zaw Zaw
Khalifa, Othman Omran
author_facet Khan, Imran Moez
Htike@Muhammad Yusof, Zaw Zaw
Khalifa, Othman Omran
author_sort Khan, Imran Moez
title Fuzzy set theory
title_short Fuzzy set theory
title_full Fuzzy set theory
title_fullStr Fuzzy set theory
title_full_unstemmed Fuzzy set theory
title_sort fuzzy set theory
publisher IIUM Press
publishDate 2011
url http://irep.iium.edu.my/21649/
http://irep.iium.edu.my/21649/
http://irep.iium.edu.my/21649/1/Chapter_16.pdf
first_indexed 2023-09-18T20:32:58Z
last_indexed 2023-09-18T20:32:58Z
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