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

fYear

2010

fDate

12-14 July 2010

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NAFIPS.2010.5548185

Filename

5548185