Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57096
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dc.contributor.authorPhichit Napooken_US
dc.contributor.authorNarissara Eiamkanitchaten_US
dc.contributor.authorKorawan Sangkakornen_US
dc.contributor.authorJirawat Teyakomeen_US
dc.date.accessioned2018-09-05T03:35:01Z-
dc.date.available2018-09-05T03:35:01Z-
dc.date.issued2017-03-23en_US
dc.identifier.other2-s2.0-85018291121en_US
dc.identifier.other10.1109/ICISSEC.2016.7885864en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018291121&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57096-
dc.description.abstract© 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.en_US
dc.subjectComputer Scienceen_US
dc.subjectDecision Sciencesen_US
dc.subjectEngineeringen_US
dc.titlePotential Tourist Attraction Analysis for Senior Tourists in the Lanna Region of Thailand Utilize Neuro-Fuzzyen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleICISS 2016 - 2016 International Conference on Information Science and Securityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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