CR 66:49-63 (2015)  -  DOI:

Modeling tourism climate indices through fuzzy logic

H. Olya1,2,*, H. Alipour1

1Faculty of Tourism, Eastern Mediterranean University, Famagusta, Turkey
2Present address: Faculty of Tourism, British University of Nicosia, Via Mersin 10, Girne/KKTC, 99450, Turkey
*Corresponding author:

ABSTRACT: This paper proposes a fuzzy-based climatic index for tourism to reconcile imprecise linguistic terms with the computational rigor required by index calculations. A fuzzy logic-based inference engine contains IF-THEN fuzzy rules that are codified based on self-reported tourists’ perceptions. Fuzzy logic helps to translate linguistic expressions of tourist perceptions of weather conditions into a score on the 7-point-scale Climate Index for Tourism (CIT). Fuzzy-based CIT was tested with data elicited from tourists, coming from a variety of climate regions, who visited the beaches of North Cyprus. Statistical analyses confirmed cross-cultural differences related to perceptions of favorable climate. Fuzzy-based CIT functions as a useful tool for calculating the climate attractiveness for tourists, which can be considered as a practical implication for tourism destination management.

KEY WORDS: Fuzzy-based Climate Index for Tourism · Cross-cultural differences · Linguistic expression

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Cite this article as: Olya H, Alipour H (2015) Modeling tourism climate indices through fuzzy logic. Clim Res 66:49-63.

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