Open AccessMeasuring the tourist destination images based on service quality using fuzzy inference system
Author(s) -
Magdalena Wullur,
I Nyoman Sutapa
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/567/1/012007
Subject(s) - tourism , reliability (semiconductor) , service quality , inference , empathy , fuzzy inference system , destinations , quality (philosophy) , service (business) , computer science , perception , fuzzy logic , marketing , data mining , business , knowledge management , artificial intelligence , psychology , geography , adaptive neuro fuzzy inference system , social psychology , fuzzy control system , philosophy , archaeology , power (physics) , epistemology , quantum mechanics , physics , neuroscience
The article discusses the measurement of tourist destination images perceived by travelers based on five dimensions of the service quality, i.e. tangibles, reliability, responsiveness, empathy, and assurance. Measurement problems occur when a traveller assesses the quality of a tourism destination service subjectively with vague boundaries and perceives the image of a tourism destination to vary. To address these issues, we designed an inference model using Mamdani’s fuzzy inference system. The results of this study are quantitative assessments of the image of tourism destinations by various travellers based on qualitative perceptions of the quality of service experienced by the traveller.