IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v57y2006i4p538-549.html
   My bibliography  Save this article

Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words

Author

Listed:
  • Enrique Herrera‐Viedma
  • Gabriella Pasi
  • Antonio G. Lopez‐Herrera
  • Carlos Porcel

Abstract

An evaluation methodology based on fuzzy computing with words aimed at measuring the information quality of Web sites containing documents is presented. This methodology is qualitative and user oriented because it generates linguistic recommendations on the information quality of the content‐based Web sites based on users' perceptions. It is composed of two main components, an evaluation scheme to analyze the information quality of Web sites and a measurement method to generate the linguistic recommendations. The evaluation scheme is based on both technical criteria related to the Web site structure and criteria related to the content of information on the Web sites. It is user driven because the chosen criteria are easily understandable by the users, in such a way that Web visitors can assess them by means of linguistic evaluation judgments. The measurement method is user centered because it generates linguistic recommendations of the Web sites based on the visitors' linguistic evaluation judgments. To combine the linguistic evaluation judgments we introduce two new majority guided linguistic aggregation operators, the Majority guided Linguistic Induced Ordered Weighted Averaging (MLIOWA) and weighted MLIOWA operators, which generate the linguistic recommendations according to the majority of the evaluation judgments provided by different visitors. The use of this methodology could improve tasks such as information filtering and evaluation on the World Wide Web.

Suggested Citation

  • Enrique Herrera‐Viedma & Gabriella Pasi & Antonio G. Lopez‐Herrera & Carlos Porcel, 2006. "Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(4), pages 538-549, February.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:4:p:538-549
    DOI: 10.1002/asi.20308
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20308
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.20308?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Koch & Michael Hartmann, 2023. "Importance of the perceived quality of touchpoints for customer journey analysis – evidence from the B2B sector," Electronic Commerce Research, Springer, vol. 23(3), pages 1515-1538, September.
    2. Hee-Min Lee & Jee-Won Kang & Young Namkung, 2021. "Instagram Users’ Information Acceptance Process for Food-Content," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    3. Heradio, Rubén & Cabrerizo, Francisco Javier & Fernández-Amorós, David & Herrera, Manuel & Herrera-Viedma, Enrique, 2013. "A fuzzy linguistic model to evaluate the quality of Library 2.0 functionalities," International Journal of Information Management, Elsevier, vol. 33(4), pages 642-654.
    4. Chuu, Shian-Jong, 2011. "Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain," European Journal of Operational Research, Elsevier, vol. 213(1), pages 279-289, August.
    5. Runxi Zeng & Siting Guo & Richard Evans, 2024. "Intentional news avoidance on short-form video platforms: a moderated mediation model of psychological reactance and relative entertainment motivation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    6. Markovich, Amiram & Efrat, Kalanit & Raban, Daphne R. & Souchon, Anne L., 2019. "Competitive intelligence embeddedness: Drivers and performance consequences," European Management Journal, Elsevier, vol. 37(6), pages 708-718.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamist:v:57:y:2006:i:4:p:538-549. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.