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A Hybrid FMCDM Approach for the Evaluation and Selection of Homestays

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  • Tsung-Yu Chou

    (Department of Distribution Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

Abstract

Due to the beautiful rural scenery, rural tourism has gradually become a popular trend as affected by urbanization in Taiwan. The purpose of this study is to develop an objective and systematic evaluation model for homestay selection in Taiwan. Specifically, this study combines three fuzzy multiple-criteria decision-making (FMCDM) methods of means-end chain (MEC), fuzzy decision making and trial evaluation laboratory (FDEMATEL), and fuzzy analytic hierarchy process (FAHP). First, we use MEC to obtain important factors for homestay travelers to choose homestays, then we extract key influencing factors by FDEMATEL method, and finally, we rank these factors in importance by FAHP to provide travelers and managers with a reference. In addition, this study combines fuzzy theory to avoid the bias caused by human subjective judgment, so as to solve the problem of objectivity in the selection and evaluation model of homestay criteria. According to the results of our case studies, a clean environment, professional service staff, safe facilities and beautiful buildings are the key factors for consumers to choose homestays. The results of this study can provide a reference for homestay managers to understand the priorities of travelers and optimize customer service in Taiwan.

Suggested Citation

  • Tsung-Yu Chou, 2022. "A Hybrid FMCDM Approach for the Evaluation and Selection of Homestays," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8688-:d:864665
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    Cited by:

    1. Lei-Yi Peng & Hong Xu & Jia Lu & Jian-Ji Luo & Hui-Hua Zhan, 2022. "An Integrated Approach with CLFPR-Based ANP and Fuzzy TOPSIS for Evaluating Business Performance of Rural Homestays: Study from China," Sustainability, MDPI, vol. 15(1), pages 1-24, December.

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