COMPARABILITY BETWEEN FUZZY SETS AND CRISP SETS: A SEMANTIC WEB APPROACH
Fuzzy set theories facilitate the extensions of today’s Web structure, especially in the context of Web data. Currently, the increase or sharing of data from different sources: individuals, industries, academia, etc are not knowing/ considering the origin of Semantic Web transition. As the extensi...
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my.utp.eprints.81182017-01-19T08:21:24Z COMPARABILITY BETWEEN FUZZY SETS AND CRISP SETS: A SEMANTIC WEB APPROACH Danyaro , K. U. Jaafar, Jafreezal Liew, M. S. TA Engineering (General). Civil engineering (General) Fuzzy set theories facilitate the extensions of today’s Web structure, especially in the context of Web data. Currently, the increase or sharing of data from different sources: individuals, industries, academia, etc are not knowing/ considering the origin of Semantic Web transition. As the extension of Web grows, the thorny problem of data heterogeneity is also increasing. However, the review/comparability of the fuzzy sets, crisp sets and Semantic Web technologies were given based on their extensions. The authors provided the approaches that will help in knowing the uncertainty within the Semantic Web environment 2012-08 Article PeerReviewed application/pdf http://eprints.utp.edu.my/8118/1/Comparability_between_Fuzzy_Sets_and_Crisp_Sets-A_Semantic_Web_Approach.pdf Danyaro , K. U. and Jaafar, Jafreezal and Liew, M. S. (2012) COMPARABILITY BETWEEN FUZZY SETS AND CRISP SETS: A SEMANTIC WEB APPROACH. EDUCATION and EDUCATIONAL TECHNOLOGY . ISSN 1792-5061 http://eprints.utp.edu.my/8118/ |
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TA Engineering (General). Civil engineering (General) Danyaro , K. U. Jaafar, Jafreezal Liew, M. S. COMPARABILITY BETWEEN FUZZY SETS AND CRISP SETS: A SEMANTIC WEB APPROACH |
description |
Fuzzy set theories facilitate the extensions of today’s Web structure, especially in the context of Web data.
Currently, the increase or sharing of data from different sources: individuals, industries, academia, etc are not
knowing/ considering the origin of Semantic Web transition. As the extension of Web grows, the thorny problem of
data heterogeneity is also increasing. However, the review/comparability of the fuzzy sets, crisp sets and Semantic
Web technologies were given based on their extensions. The authors provided the approaches that will help in
knowing the uncertainty within the Semantic Web environment |
format |
Article |
author |
Danyaro , K. U. Jaafar, Jafreezal Liew, M. S. |
author_facet |
Danyaro , K. U. Jaafar, Jafreezal Liew, M. S. |
author_sort |
Danyaro , K. U. |
title |
COMPARABILITY BETWEEN FUZZY SETS AND CRISP
SETS: A SEMANTIC WEB APPROACH |
title_short |
COMPARABILITY BETWEEN FUZZY SETS AND CRISP
SETS: A SEMANTIC WEB APPROACH |
title_full |
COMPARABILITY BETWEEN FUZZY SETS AND CRISP
SETS: A SEMANTIC WEB APPROACH |
title_fullStr |
COMPARABILITY BETWEEN FUZZY SETS AND CRISP
SETS: A SEMANTIC WEB APPROACH |
title_full_unstemmed |
COMPARABILITY BETWEEN FUZZY SETS AND CRISP
SETS: A SEMANTIC WEB APPROACH |
title_sort |
comparability between fuzzy sets and crisp
sets: a semantic web approach |
publishDate |
2012 |
url |
http://eprints.utp.edu.my/8118/1/Comparability_between_Fuzzy_Sets_and_Crisp_Sets-A_Semantic_Web_Approach.pdf http://eprints.utp.edu.my/8118/ |
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1738655632369647616 |