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A New Hybrid Fuzzy Model: Satisfaction of Residents in Touristic Areas toward Tourism Development
Author(s) -
Amir Mehdiabadi,
Peter Wänke,
Seddigheh Khorshid,
Cristi Spulbăr,
Ramona Birău
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/6650735
Subject(s) - weighting , fuzzy logic , tourism , delphi method , perception , computer science , operations research , psychology , marketing , mathematics , business , geography , artificial intelligence , medicine , archaeology , neuroscience , radiology
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.

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