TY - GEN
T1 - The analysis of cognitive image and tourism experience in Taiwan's old streets based on a hybrid MCDM approach
AU - Kuo, Chung Ling
AU - Lin, Chia Li
N1 - Publisher Copyright:
© 2016 The authors and IOS Press. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85026902768&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026902768&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-722-1-476
DO - 10.3233/978-1-61499-722-1-476
M3 - Conference contribution
AN - SCOPUS:85026902768
T3 - Frontiers in Artificial Intelligence and Applications
SP - 476
EP - 486
BT - Fuzzy Systems and Data Mining II - Proceedings of FSDM 2016
A2 - Sun, Shilei
A2 - Tallon-Ballesteros, Antonio J.
A2 - Pamucar, Dragan S.
A2 - Liu, Feng
PB - IOS Press BV
T2 - 2nd International Conference on Fuzzy Systems and Data Mining, FSDM 2016
Y2 - 11 December 2016 through 14 December 2016
ER -