Comparability between fuzzy sets and crisp sets: A Semantic Web approach

Danyaro, K.U. and Jaafar, J. and Liew, S. (2010) Comparability between fuzzy sets and crisp sets: A Semantic Web approach. In: UNSPECIFIED.

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 1; Conference of 9th WSEAS International Conference on Education and Educational Technology, EDU'10 ; Conference Date: 4 October 2010 Through 6 October 2010; Conference Code:85017
Uncontrolled Keywords: Crisp sets; Data heterogeneity; Description logic; Semantic web approach; Semantic Web technology; Web data; Web environment; Web structures, Data description; Education; Fuzzy set theory; Fuzzy sets; Semantics; Technology; User interfaces; XML, Semantic Web
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/862

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