A hybrid fuzzy framework for Cloud service selection
QoS-based service rating has made positive contributions to the area of service selection. Especially for Cloud service users, the right decision when choosing suitable Cloud services can help them improve user satisfaction and trading revenues. This work aims to address the issue of uncertainty in...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/11259 |
| _version_ | 1848747757492240384 |
|---|---|
| author | Le, S. Dong, Hai Hussain, F. Hussain, O. Ma, J. Zhang, Y. |
| author_facet | Le, S. Dong, Hai Hussain, F. Hussain, O. Ma, J. Zhang, Y. |
| author_sort | Le, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | QoS-based service rating has made positive contributions to the area of service selection. Especially for Cloud service users, the right decision when choosing suitable Cloud services can help them improve user satisfaction and trading revenues. This work aims to address the issue of uncertainty in service requests, service descriptions, user and expert preferences, as well as evaluation criteria in a MCDM-based service selection procedure. A hybrid fuzzy framework for Cloud service selection is proposed, addressing the challenge using three approaches: a fuzzy-ontology-based approach for function matching and service filtering; a fuzzy AHP technique for informed criterion weighting; and, a fuzzy TOPSIS approach for service ranking. |
| first_indexed | 2025-11-14T06:54:13Z |
| format | Conference Paper |
| id | curtin-20.500.11937-11259 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:54:13Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-112592017-09-13T14:56:19Z A hybrid fuzzy framework for Cloud service selection Le, S. Dong, Hai Hussain, F. Hussain, O. Ma, J. Zhang, Y. QoS-based service rating has made positive contributions to the area of service selection. Especially for Cloud service users, the right decision when choosing suitable Cloud services can help them improve user satisfaction and trading revenues. This work aims to address the issue of uncertainty in service requests, service descriptions, user and expert preferences, as well as evaluation criteria in a MCDM-based service selection procedure. A hybrid fuzzy framework for Cloud service selection is proposed, addressing the challenge using three approaches: a fuzzy-ontology-based approach for function matching and service filtering; a fuzzy AHP technique for informed criterion weighting; and, a fuzzy TOPSIS approach for service ranking. 2014 Conference Paper http://hdl.handle.net/20.500.11937/11259 10.1109/ICWS.2014.53 Institute of Electrical and Electronics Engineers Inc. restricted |
| spellingShingle | Le, S. Dong, Hai Hussain, F. Hussain, O. Ma, J. Zhang, Y. A hybrid fuzzy framework for Cloud service selection |
| title | A hybrid fuzzy framework for Cloud service selection |
| title_full | A hybrid fuzzy framework for Cloud service selection |
| title_fullStr | A hybrid fuzzy framework for Cloud service selection |
| title_full_unstemmed | A hybrid fuzzy framework for Cloud service selection |
| title_short | A hybrid fuzzy framework for Cloud service selection |
| title_sort | hybrid fuzzy framework for cloud service selection |
| url | http://hdl.handle.net/20.500.11937/11259 |