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

  • Zuhaira Muhammad ZainEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 722)

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.

Keywords

Fuzzy VIKOR MCDM Breast cancer Online information quality 

Notes

Acknowledgements

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

References

  1. 1.
    Afful-Dadzie, E., Nabareseh, S., Oplatkova, Z.K.: Fuzzy VIKOR approach: evaluating quality of internet health information. In: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, ACSIS, vol. 2. pp. 183–190 (2014)Google Scholar
  2. 2.
    Kim, P., Eng, T.R., Deering, M.J., Maxfield, A.: Published criteria for evaluating health related web sites: review. Br. Med. J. 318, 647 (1999)CrossRefGoogle Scholar
  3. 3.
    Eysenbach, G., Powell, J., Kuss, O., Sa, E.R.: Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA 287, 2691–2700 (2002)CrossRefGoogle Scholar
  4. 4.
    Jadad, A.R., Gagliardi, A.: Rating health information on the internet: navigating to knowledge or to babel? JAMA 279, 611–614 (1998)CrossRefGoogle Scholar
  5. 5.
    Zhang, Y., Sun, Y., Xie, B.: Quality of health information for consumers on the web: a systematic review of indicators, criteria, tools and evaluation results. J. Assoc. Inf. Sci. Technol. 66, 2071–2084 (2015)CrossRefGoogle Scholar
  6. 6.
    Afful-Dadzie, E., Nabareseh, S., Oplatkova, Z.K., Klimek, P.: Model for assessing quality of online health information: a fuzzy VIKOR based method. J. Multi-criteria Decis. Anal. 23, 49–62 (2016)CrossRefGoogle Scholar
  7. 7.
    Kahraman, C.: Fuzzy Multi-criteria Decision Making: Theory and Applications with Recent Developments. Springer, Heidelberg (2008)Google Scholar
  8. 8.
    Lu, J., Zhang, G., Ruan, D.: Multi-objective Group Decision Making: Methods, Software and Applications with Fuzzy Set Techniques. Imperial College Press, London (2007)CrossRefzbMATHGoogle Scholar
  9. 9.
    Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Manage. Sci. 17, B-141 (1970)MathSciNetCrossRefzbMATHGoogle Scholar
  10. 10.
    Opricovic, S.: Multicriteria Optimization of Civil Engineering Systems. Faculty of Civil Engineering, Belgrade (1998)Google Scholar
  11. 11.
    Yucenur, G.N., Demirel, N.C.: Group decision making process for insurance company selection problem with extended VIKOR method under fuzzy environment. Expert Syst. Appl. 39, 3702–3707 (2012)CrossRefGoogle Scholar
  12. 12.
    Sanayei, A.S., Mousavi, F., Yazdankhah, A.: Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Syst. Appl. 37, 24–30 (2010)CrossRefGoogle Scholar
  13. 13.
    Shemshadi, A., Shirazi, H., Toreihi, M., Tarokh, M.J.: A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Syst. Appl. 38, 12160–12167 (2011)CrossRefGoogle Scholar
  14. 14.
    Jahan, A., Mustapha, F., Ismail, M.Y., Sapuan, S.M., Bahraminasab, M.: A comprehensive VIKOR method for material selection. Mater. Des. 32, 1215–1221 (2011)CrossRefGoogle Scholar
  15. 15.
    Devi, K.: Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Syst. Appl. 38, 14163–14168 (2011)Google Scholar
  16. 16.
    Wu, Z., Ahmad, J., Xu, J.: A group decision making framework based on fuzzy VIKOR approach for machine tool selection with linguistic information. Appl. Soft Comput. 42, 314–324 (2016)CrossRefGoogle Scholar
  17. 17.
    Kuo, M.S., Liang, G.S.: Combining VIKOR and GRA techniques to evaluate service quality of airports under fuzzy environment. Expert Syst. Appl. 38, 1304–1312 (2011)CrossRefGoogle Scholar
  18. 18.
    Ou Yang, Y.P., Shieh, H.M., Tzeng, G.H.: A VIKOR technique based on DEMATEL and ANP for information security risk control assessment. Inf. Sci. 232, 482–500 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Information Systems Department, College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

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