| DOI: | 10.3354/cr01327
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| Scopus记录号: | 2-s2.0-84946072245
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| 论文题名: | Modeling tourism climate indices through fuzzy logic |
| 作者: | Olya H.; Alipour H.
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| 刊名: | Climate Research
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| ISSN: | 0936577X
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| 出版年: | 2015
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| 卷: | 66, 期:1 | | 起始页码: | 49
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| 结束页码: | 63
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| 语种: | 英语
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| 英文关键词: | Cross-cultural differences
; Fuzzy-based climate index for tourism
; Linguistic expression
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| Scopus关键词: | cultural tradition
; fuzzy mathematics
; numerical model
; perception
; tourism management
; tourist attraction
; tourist destination
; Cyprus
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| 英文摘要: | 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. © Inter-Research 2015. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/116453
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| Appears in Collections: | 气候减缓与适应
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| Recommended Citation: | |
Olya H.,Alipour H.. Modeling tourism climate indices through fuzzy logic[J]. Climate Research,2015-01-01,66(1)
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