Contribution of Lofti Asker Zadeh to fuzzy logic

The objective of this chapter is to highlight the contribution of Lofti Asker Zadeh, the founder of fuzzy logic. Lotfi Zadeh introduced the concept of fuzzy logic through his published paper 'Fuzzy sets' in 1965. The literal meaning of fuzzy is vague, imprecise, subjective or uncertain whi...

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Main Authors:	Ameer Amsa, Mohamad Ghazali, Ismail, Ahmad Faris
Format:	Book Chapter
Language:	English
Published:	IIUM Press 2011
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/21153/ http://irep.iium.edu.my/21153/ http://irep.iium.edu.my/21153/1/Chapter_23.pdf

id	iium-21153
recordtype	eprints
spelling	iium-211532012-08-06T07:53:36Z http://irep.iium.edu.my/21153/ Contribution of Lofti Asker Zadeh to fuzzy logic Ameer Amsa, Mohamad Ghazali Ismail, Ahmad Faris T Technology (General) The objective of this chapter is to highlight the contribution of Lofti Asker Zadeh, the founder of fuzzy logic. Lotfi Zadeh introduced the concept of fuzzy logic through his published paper 'Fuzzy sets' in 1965. The literal meaning of fuzzy is vague, imprecise, subjective or uncertain which gives impression that fuzzy logic is the 'logic' that is fuzzy. However, that assumption is misleading since the actual meaning of fuzzy logic is the logic used to describe fuzziness or imprecise thing (Negnevitsky, 2002, p. 87). Fuzzy logic allows machine to imitate the human thought process, while solving uncertainty problems by means of 'computing with the words' technique. In this technique, all the words by given each of linguistic variables have different degree of membership values (base on human perception) in the fuzzy set. This idea is similar to human decision making technique since used to judge something with linguistic variable such as 'good', 'better' , 'nice' which are uncertain and very subjective because it based on individual perception of something which and thus may differ from one person to another. Fuzzy set theory led to development of various intelligent machines that able to decide the solution in the way more to 'human like manner' which called Intelligent System (IS) to deal with uncertainty and impreciseness of real world problems. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21153/1/Chapter_23.pdf Ameer Amsa, Mohamad Ghazali and Ismail, Ahmad Faris (2011) Contribution of Lofti Asker Zadeh to fuzzy logic. In: Contributions of Early Muslim Scientists to Engineering Sciences and related studies. IIUM Press, Kuala Lumpur, pp. 121-126. ISBN 978-967-418-157-4 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	T Technology (General)
spellingShingle	T Technology (General) Ameer Amsa, Mohamad Ghazali Ismail, Ahmad Faris Contribution of Lofti Asker Zadeh to fuzzy logic
description	The objective of this chapter is to highlight the contribution of Lofti Asker Zadeh, the founder of fuzzy logic. Lotfi Zadeh introduced the concept of fuzzy logic through his published paper 'Fuzzy sets' in 1965. The literal meaning of fuzzy is vague, imprecise, subjective or uncertain which gives impression that fuzzy logic is the 'logic' that is fuzzy. However, that assumption is misleading since the actual meaning of fuzzy logic is the logic used to describe fuzziness or imprecise thing (Negnevitsky, 2002, p. 87). Fuzzy logic allows machine to imitate the human thought process, while solving uncertainty problems by means of 'computing with the words' technique. In this technique, all the words by given each of linguistic variables have different degree of membership values (base on human perception) in the fuzzy set. This idea is similar to human decision making technique since used to judge something with linguistic variable such as 'good', 'better' , 'nice' which are uncertain and very subjective because it based on individual perception of something which and thus may differ from one person to another. Fuzzy set theory led to development of various intelligent machines that able to decide the solution in the way more to 'human like manner' which called Intelligent System (IS) to deal with uncertainty and impreciseness of real world problems.
format	Book Chapter
author	Ameer Amsa, Mohamad Ghazali Ismail, Ahmad Faris
author_facet	Ameer Amsa, Mohamad Ghazali Ismail, Ahmad Faris
author_sort	Ameer Amsa, Mohamad Ghazali
title	Contribution of Lofti Asker Zadeh to fuzzy logic
title_short	Contribution of Lofti Asker Zadeh to fuzzy logic
title_full	Contribution of Lofti Asker Zadeh to fuzzy logic
title_fullStr	Contribution of Lofti Asker Zadeh to fuzzy logic
title_full_unstemmed	Contribution of Lofti Asker Zadeh to fuzzy logic
title_sort	contribution of lofti asker zadeh to fuzzy logic
publisher	IIUM Press
publishDate	2011
url	http://irep.iium.edu.my/21153/ http://irep.iium.edu.my/21153/ http://irep.iium.edu.my/21153/1/Chapter_23.pdf
first_indexed	2023-09-18T20:32:03Z
last_indexed	2023-09-18T20:32:03Z
_version_	1777408801496891392

Contribution of Lofti Asker Zadeh to fuzzy logic

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