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Evaluation of the Quality of Internet Breast Cancer Information: Fuzzy VIKOR Approach

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Intelligent Human Systems Integration (IHSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 722))

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Abstract

Breast cancer is the most common cancer in women both around the world and in Saudi Arabia. Patients increasingly use the Internet for breast cancer information. However, the quality of the information is questionable. It will be getting worse if solicited information goes wrong, then it tends to have poor consequences on the general public. Assessing the quality of internet breast cancer information is typically challenging yet a rational and systematic approach can be useful in evaluating the quality of the information they provide to public. The purpose of this paper is to evaluate the quality of internet breast cancer information by using fuzzy VIKOR approach where linguistic variables are applied to solve the uncertainties and subjectivities in expert decision making. This study benefits breast cancer patients know which websites have the mandate and the competence to educate the public on breast cancer issues. Besides, it helps them in their resolve to ensure the quality of breast cancer information on the internet.

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Acknowledgements

This research was funded by Deanship of Scientific Research at Princess Nourah bint Abdulrahman University. (Grant No. ).

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Authors and Affiliations

  1. Information Systems Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

    Zuhaira Muhammad Zain

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  1. Zuhaira Muhammad Zain
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Correspondence to Zuhaira Muhammad Zain .

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Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Waldemar Karwowski

  2. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

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Zain, Z.M. (2018). Evaluation of the Quality of Internet Breast Cancer Information: Fuzzy VIKOR Approach. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_16

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  • DOI: https://doi.org/10.1007/978-3-319-73888-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73887-1

  • Online ISBN: 978-3-319-73888-8

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