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The evaluation study on tourism websites: from the perspective of triangular intuitionistic fuzzy multiple attribute group decision making

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  • Tonghui Lian
  • Caihua Yu
  • Zhongqun Wang
  • Zhiping Hou

Abstract

The research on the evaluation of tourism websites can measure the websites' development in the same industry, and it is helpful to improve the quality of the websites. In view of the complexity of the tourism website evaluation, this study firstly constructs the evaluation index system of tourism websites, including subjective indicators and objective indicators. Six websites are taken for example from non-profit tourism websites, direct tourism websites and intermediary tourism websites, two from each type. And then the evaluation index data is obtained; triangular fuzzy number and subjective preference value of evaluation index are calculated; fuzzy evaluation matrix, normalization matrix and the expectation matrix are constructed; the index weight is determined; tourism website comprehensive expectation is calculated and the website ranking according to comprehensive expectation is given from high to low.

Suggested Citation

  • Tonghui Lian & Caihua Yu & Zhongqun Wang & Zhiping Hou, 2017. "The evaluation study on tourism websites: from the perspective of triangular intuitionistic fuzzy multiple attribute group decision making," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(16), pages 2877-2889, December.
    • Handle: RePEc:taf:japsta:v:44:y:2017:i:16:p:2877-2889
    DOI: 10.1080/02664763.2016.1266466
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    References listed on IDEAS

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    2. Ömür Saltık & Wasim ul Rehman & Rıdvan Söyü & Süleyman Değirmen & Ahmet Şengönül, 2023. "Predicting loss aversion behavior with machine-learning methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.

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