Title :
Modeling linguistic label perception in tourism e-satisfaction with type-2 fuzzy sets
Author :
Moharrer, Masoomeh ; Tahayori, Hooman ; Sadeghian, Alireza
Author_Institution :
Dept. of Manage., Econ. & Ind. Eng., Politec. di Milano, Milan, Italy
Abstract :
Type-2 fuzzy sets are shown to be able to handle inter and intra uncertainties of group of experts about a concept, however one of their main difficulties is elicitation of their membership functions. This paper discusses a method for type-2 fuzzy membership function elicitation of labels used in a survey on tourism online satisfaction. The method is based on the implementation of factor analysis that ends with different questions to be loaded into five main factors for which effective weights are then calculated using regression analysis.
Keywords :
Internet; computational linguistics; fuzzy set theory; regression analysis; travel industry; linguistic label perception modeling; regression analysis; tourism e-satisfaction; type-2 fuzzy membership function elicitation; type-2 fuzzy sets; Context modeling; Fuzzy logic; Fuzzy sets; Humans; Measurement errors; Natural languages; Privacy; Regression analysis; Risk management; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-7859-0
Electronic_ISBN :
978-1-4244-7857-6
DOI :
10.1109/NAFIPS.2010.5548185
