A fuzzy model for selecting social web services

Document Type

Article

Source of Publication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

1-1-2014

Abstract

© Springer International Publishing Switzerland 2014. This paper discusses a fuzzy model to select social component Web services for developing composite Web services. The social aspect stems from the qualities that Web services exhibit at run-time such as selfishness and trustworthiness. The fuzzy model considers these qualities during the selection, which allows users to express their needs and requirements with respect to these qualities. The ranking in this fuzzy model is based on a hybrid weighting technique that mixes Web services’ computing and social behaviors. The simulation results show the appropriateness of fuzzy logic for social Web services selection as well as better performance over entropy-based ranking techniques.

ISSN

0302-9743

Publisher

Springer Verlag

Volume

8787

First Page

32

Last Page

46

Disciplines

Computer Sciences

Keywords

Fuzzy Logic, Selection, Social Quality, Web Service

Scopus ID

84921677566

Indexed in Scopus

yes

Open Access

no

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