Abstract
Many researchers have suggested fuzzy-based methods to derive rankings of services based on the fuzzy degree that each service satisfies a set of weighted quality attributes. Most of these methods assume a complete set of candidate services completely assessed. However, the candidate service set may include services which have not been fully assessed yet with respect to all quality attributes. Unassessed candidates introduce hesitation regarding the ranking of already evaluated services. This paper suggests Intuitionistic Fuzzy Sets (IFSs) to handle these sources of hesitation when assessing quality of services. IFS score functions are used to rank services with regard to each quality attribute. The final ranking can be derived by applying an objective method based on entropy weights for the quality attributes.
Original language | English |
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Title of host publication | Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 742-745 |
Number of pages | 4 |
ISBN (Electronic) | 9781467372817 |
DOIs | |
Publication status | Published - 17 Aug 2015 |
Event | IEEE International Conference on Services Computing, SCC 2015 - New York, United States Duration: 27 Jun 2015 → 2 Jul 2015 |
Other
Other | IEEE International Conference on Services Computing, SCC 2015 |
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Country/Territory | United States |
City | New York |
Period | 27/06/15 → 2/07/15 |
Keywords
- Intuitionistic fuzzy sets
- Objective ranking
- Quality attributes
- Service evaluation