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Fuzzy Qualitative Models to Evaluate the Quality on the Web

  • Conference paper
Modeling Decisions for Artificial Intelligence (MDAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3131))

Abstract

The problem of finding quality information and services on the Web is analyzed. We present two user-centered evaluation methodologies to characterize the quality of the Web documents and Web sites that contain these Web documents. These evaluation methodologies are designed using a fuzzy linguistic approach in order to facilitate the expression of qualitative and subjective judgements. These methodologies allow to obtain quality evaluations or recommendations on the accessed Web documents/sites from linguistic judgements provided by Web visitors. Then, these recommendations can aid other visitors (information or service searchers) to decide which Web recourses to access, that is, to find quality information and services on the Web.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain

    Enrique Herrera-Viedma

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  1. Enrique Herrera-Viedma
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Editors and Affiliations

  1. IIIA, Artificial Intelligence Research Institute CSIC, Spanish National Research Council, Campus UAB s/n, 08193, Bellaterra, Catalonia, Spain

    Vicenç Torra

  2. Toho Gakuen, 3-1-10 Naka, Kunitachi, 186-0004, Tokyo, Japan

    Yasuo Narukawa

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Herrera-Viedma, E. (2004). Fuzzy Qualitative Models to Evaluate the Quality on the Web. In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2004. Lecture Notes in Computer Science(), vol 3131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27774-3_3

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  • DOI: https://doi.org/10.1007/978-3-540-27774-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22555-3

  • Online ISBN: 978-3-540-27774-3

  • eBook Packages: Springer Book Archive

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