Developing similarity based IPA under intuitionistic fuzzy sets to assess leisure bikeways

被引:22
作者
Chu, Chun-Hsiao [1 ]
Guo, Yu-Jian [2 ]
机构
[1] Aletheia Univ, Dept Tourism, New Taipei City 25103, Taiwan
[2] Aletheia Univ, Dept Tourism Informat, New Taipei City 25103, Taiwan
关键词
Importance-performance analysis; Bikeway; Intuitionistic fuzzy set; Pattern recognition; Similarity; Service quality; IMPORTANCE-PERFORMANCE ANALYSIS; VAGUE SETS; ENTROPY; DISTANCE;
D O I
10.1016/j.tourman.2014.09.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Since its introduction in 1977, importance-performance analysis (IPA) has been used widely to assess marketing and operating strategies. In previous IPA studies, three methods have been used to position the crosshairs: the mean, median, and middle positions of scale. However, as several studies have pointed out, differently positioning the crosshairs may lead to dramatically different results. To resolve this inconsistency, this study proposes a similarity-based importance-performance analysis (SBIPA) under intuitionistic fuzzy sets. The basic idea of SBIPA is to classify service attributes into the most similar quadrant of a conventional IPA grid according to the proposed similarity measure. Using SBIPA to assess the Tamsui Golden Riverside Bikeway shows that the natural environment of the bikeway is attractive enough to support tourism, but authorities should pay greater attention to improving the facilities of the bikeway. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:47 / 57
页数:11
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