Combining subjective and objective QoS factors for personalized web service selection

Hei Chia Wang, Chang Shing Lee, Tsung Hsien Ho

Research output: Contribution to journalArticlepeer-review

101 Citations (Scopus)


Web service is an emerging Internet technology to dynamically describe, discover and communicate. According to the Web Service Architecture (WSA) published by W3C, users can find services through the repository Universal Description, Discovery and Integration (UDDI). However, the UDDI may find many web services with similar functions without considering the nonfunctional quality of service (QoS) information. Under such circumstances, users may have difficulty deciding which service is suitable. This paper proposes a fuzzy-based UDDI with QoS support. Unlike many similar researches, the proposed method tries to consider not only the objective factors described by service providers but also the subjective information with trustability evaluations from users who use those services. Genetic algorithm (GA) is adapted to learn user preferences, and fuzzy logic is applied for making decisions. With a fuzzy query interface to input subjective and objective factors, users can determine the most suitable web service for personal use.

Original languageEnglish
Pages (from-to)571-584
Number of pages14
JournalExpert Systems With Applications
Issue number2
Publication statusPublished - 2007 Feb

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence


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