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Erschienen in: Information Systems Frontiers 4/2015

01.08.2015

Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory

verfasst von: Ping Wang, Kuo-Ming Chao, Chi-Chun Lo

Erschienen in: Information Systems Frontiers | Ausgabe 4/2015

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Abstract

Most existing QoS-aware Service Discovery and Selection (QSDS) schemes use linguistic terms to describe the QoS satisfaction degree when ranking competing alternatives. However, such schemes determine the degree of QoS satisfaction using fuzzy set membership functions, and cannot therefore take negative evidence (i.e., consumer dissatisfaction) into account. By contrast, vague sets provide the ability to represent both positive and negative evidence when modeling uncertain objects. Accordingly, the present study proposes a new satisfaction-based Web service ranking method for QSDS problems involving a group of online service consumers with imprecise and inconsistent expectations and degrees of satisfaction regarding multiple QoS criteria. Importantly, the proposed approach overcomes the uncertainty regarding the difference between the users’ expectations and their degree of satisfaction inherent in Dempster–Shafer (D-S) evidence theory. Overall, the results show that the proposed scheme provides an effective means of solving the problem of vague and ill-defined information in the QSDS decision-making process.

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Metadaten
Titel
Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory
verfasst von
Ping Wang
Kuo-Ming Chao
Chi-Chun Lo
Publikationsdatum
01.08.2015
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 4/2015
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-013-9447-4

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