An Intuitionistic Fuzzy Approach for Ranking Web Services under Evaluation Uncertainty

George Kakarontzas, Vassilis C. Gerogiannis

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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 languageEnglish
    Title of host publicationProceedings - 2015 IEEE International Conference on Services Computing, SCC 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages742-745
    Number of pages4
    ISBN (Electronic)9781467372817
    DOIs
    Publication statusPublished - 17 Aug 2015
    EventIEEE International Conference on Services Computing, SCC 2015 - New York, United States
    Duration: 27 Jun 20152 Jul 2015

    Other

    OtherIEEE International Conference on Services Computing, SCC 2015
    Country/TerritoryUnited States
    CityNew York
    Period27/06/152/07/15

    Keywords

    • Intuitionistic fuzzy sets
    • Objective ranking
    • Quality attributes
    • Service evaluation

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