The analysis of cognitive image and tourism experience in Taiwan's old streets based on a hybrid MCDM approach

Chung Ling Kuo, Chia Li Lin

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

There are forty to fifty old streets spreading around Taiwan. Each Taiwan's old street has its own story. Some are famous for their delicacy; others for their unique scenery and still others promote their local cultures through the combination of their local industries and festivals. A few Taiwan's old streets have found their position through time, while others have not and are fading like dried leaves. This study, therefore, aims to find both the position and the developing direction of Taiwan's old streets. Through a tourism-experiencing perspective, the evaluation system is formed according to six aspects (Landscape image, Historical site image, Cultural image, Shopping experience, Gourmet experience, Marketing experience) in order to classify the Taiwan's old streets and construct the developing strategies. The connection of old-street-forming criteria will be constructed by the use of Fuzzy Cognitive Map (FCM). They will be classified according to their quality, and their competitive strategies will also be established. Hopefully, this study will be of great value in assisting the governmental authorities finding the characteristics of the Taiwan's old streets and improving their development.

原文English
主出版物標題Fuzzy Systems and Data Mining II - Proceedings of FSDM 2016
編輯Shilei Sun, Antonio J. Tallon-Ballesteros, Dragan S. Pamucar, Feng Liu
發行者IOS Press BV
頁面476-486
頁數11
ISBN(電子)9781614997214
DOIs
出版狀態Published - 2016
事件2nd International Conference on Fuzzy Systems and Data Mining, FSDM 2016 - Macau, China
持續時間: 2016 12月 112016 12月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
293
ISSN(列印)0922-6389
ISSN(電子)1879-8314

Conference

Conference2nd International Conference on Fuzzy Systems and Data Mining, FSDM 2016
國家/地區China
城市Macau
期間16-12-1116-12-14

All Science Journal Classification (ASJC) codes

  • 人工智慧

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