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A New Hybrid Fuzzy Model: Satisfaction of Residents in Touristic Areas toward Tourism Development

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  • Amir Mehdiabadi
  • Peter Fernandes Wanke
  • Seddigheh Khorshid
  • Cristi Spulbar
  • Ramona Birau

Abstract

This research brings a practical approach to the issue of the level of satisfaction from residents in tourist destinations by using three attractive methods together. After reviewing the theoretical foundations and the meta-synthesis method in identifying indicators, fuzzy Delphi was used for screening, fuzzy SWARA (stepwise weight assessment ratio analysis) for weighting, and fuzzy EDAS (evaluation based on distance from average solution) for 16 very important tourism areas in Iran. Six important factors (economic, cultural, environmental, perceptual, social, and health) along with 42 important criteria were identified in the meta-combination method, while also obtaining the total weight of the indicators. Finally, the sensitivity analysis of the model is performed and practical suggestions presented.

Suggested Citation

  • Amir Mehdiabadi & Peter Fernandes Wanke & Seddigheh Khorshid & Cristi Spulbar & Ramona Birau, 2021. "A New Hybrid Fuzzy Model: Satisfaction of Residents in Touristic Areas toward Tourism Development," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-21, February.
    • Handle: RePEc:hin:jnlmpe:6650735
    DOI: 10.1155/2021/6650735
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    Cited by:

    1. Skare, Marinko & Gavurova, Beata & Polishchuk, Volodymyr & Nawazish, Mirza, 2023. "A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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