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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/21153/1/Chapter_23.pdf
http://irep.iium.edu.my/21153/
http://rms.research.iium.edu.my/bookstore/default.aspx
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spelling my.iium.irep.211532020-06-10T07:23:07Z 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/21153/1/Chapter_23.pdf
http://irep.iium.edu.my/21153/
http://rms.research.iium.edu.my/bookstore/default.aspx
_version_ 1672610074614300672
score 13.211869

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