Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy
© 2016 IEEE. There are numerous tourist attractions in the Lanna region of Thailand, however, with the increasing pattern of the aging population, each place need to be dissected the potential for senior visitors. This paper proposes the application of using Neuro-fuzzy system to assess the readines...
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th-cmuir.6653943832-466742018-04-25T07:26:17Z Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy Phichit Napook Narissara Eiamkanitchat Korawan Sangkakorn Jirawat Teyakome Decision Sciences Engineering Agricultural and Biological Sciences © 2016 IEEE. There are numerous tourist attractions in the Lanna region of Thailand, however, with the increasing pattern of the aging population, each place need to be dissected the potential for senior visitors. This paper proposes the application of using Neuro-fuzzy system to assess the readiness of the tourist spot. The considered area, including 8 provinces in Thailand, which considered as the kingdom of Lanna in ancient days. With the specific purpose, experiments are done by modifying the appropriate structure of Neuro-Fuzzy for the dataset. The primary experiment is intended to evaluate the proper membership function, the Gaussian membership function shows the best results among others. Furthermore the experiment to verify the number of networks are made, the results from both 1 network and 2 networks are demonstrating the same accuracy for this dataset. 2018-04-25T06:59:24Z 2018-04-25T06:59:24Z 2017-03-23 Conference Proceeding 2-s2.0-85018291121 10.1109/ICISSEC.2016.7885864 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018291121&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46674 |
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Decision Sciences Engineering Agricultural and Biological Sciences Phichit Napook Narissara Eiamkanitchat Korawan Sangkakorn Jirawat Teyakome Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy |
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© 2016 IEEE. There are numerous tourist attractions in the Lanna region of Thailand, however, with the increasing pattern of the aging population, each place need to be dissected the potential for senior visitors. This paper proposes the application of using Neuro-fuzzy system to assess the readiness of the tourist spot. The considered area, including 8 provinces in Thailand, which considered as the kingdom of Lanna in ancient days. With the specific purpose, experiments are done by modifying the appropriate structure of Neuro-Fuzzy for the dataset. The primary experiment is intended to evaluate the proper membership function, the Gaussian membership function shows the best results among others. Furthermore the experiment to verify the number of networks are made, the results from both 1 network and 2 networks are demonstrating the same accuracy for this dataset. |
format |
Conference Proceeding |
author |
Phichit Napook Narissara Eiamkanitchat Korawan Sangkakorn Jirawat Teyakome |
author_facet |
Phichit Napook Narissara Eiamkanitchat Korawan Sangkakorn Jirawat Teyakome |
author_sort |
Phichit Napook |
title |
Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy |
title_short |
Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy |
title_full |
Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy |
title_fullStr |
Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy |
title_full_unstemmed |
Potential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzy |
title_sort |
potential tourist attraction analysis for senior tourists in the lanna region of thailand utilize neuro-fuzzy |
publishDate |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018291121&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46674 |
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1681422918249086976 |