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

Author

Listed:
  • Ping Wang

    (Kun Shan University)

  • Kuo-Ming Chao

    (Coventry University)

  • Chi-Chun Lo

    (National Chiao Tung University)

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.

Suggested Citation

  • Ping Wang & Kuo-Ming Chao & Chi-Chun Lo, 2015. "Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory," Information Systems Frontiers, Springer, vol. 17(4), pages 827-844, August.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:4:d:10.1007_s10796-013-9447-4
    DOI: 10.1007/s10796-013-9447-4
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    References listed on IDEAS

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    1. Kacprzyk, Janusz & Fedrizzi, Mario, 1989. "A `human-consistent' degree of consensus based on fuzzy login with linguistic quantifiers," Mathematical Social Sciences, Elsevier, vol. 18(3), pages 275-290, December.
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    3. Seungwok Han & Hee Yong Youn & Ohyoung Song, 2012. "Efficient category-based service discovery on multi-agent platform," Information Systems Frontiers, Springer, vol. 14(3), pages 601-616, July.
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    Cited by:

    1. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 0. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    2. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 2018. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 20(5), pages 1075-1095, October.
    3. Zhou, Shenghan & Hu, Chen & Qiao, Xiaoduo & Chang, Wenbing, 2016. "A forecasting method for Chinese civil planes attendance rate based on vague sets," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 518-526.

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