Neuro-fuzzy system for analysis the overall operations of companies in Thailand

© 2015 IEEE. This paper proposes the novel methodology using Neuro-fuzzy for analysis the overall operations of 982 companies in Thailand. The propose method consists of two parts. The first part is the clustering process to define classes of dataset using fuzzy system. The second part is the predic...

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Main Authors: Napook P., Eiamkanitchat N., Suriya K., Teyakome J.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964608037&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42164
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Institution: Chiang Mai University
id th-cmuir.6653943832-42164
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spelling th-cmuir.6653943832-421642017-09-28T04:25:32Z Neuro-fuzzy system for analysis the overall operations of companies in Thailand Napook P. Eiamkanitchat N. Suriya K. Teyakome J. © 2015 IEEE. This paper proposes the novel methodology using Neuro-fuzzy for analysis the overall operations of 982 companies in Thailand. The propose method consists of two parts. The first part is the clustering process to define classes of dataset using fuzzy system. The second part is the prediction process using the Neuro-fuzzy system to create the classification model for predict the turnover score of each class. The experimental results from the classification model show the high accuracy of the Neuro-fuzzy system. The merit of the proposed model can use as the tool for scoring the overall operations of companies. 2017-09-28T04:25:32Z 2017-09-28T04:25:32Z 2016-01-04 Conference Proceeding 2-s2.0-84964608037 10.1109/ICISSEC.2015.7371023 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964608037&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42164
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2015 IEEE. This paper proposes the novel methodology using Neuro-fuzzy for analysis the overall operations of 982 companies in Thailand. The propose method consists of two parts. The first part is the clustering process to define classes of dataset using fuzzy system. The second part is the prediction process using the Neuro-fuzzy system to create the classification model for predict the turnover score of each class. The experimental results from the classification model show the high accuracy of the Neuro-fuzzy system. The merit of the proposed model can use as the tool for scoring the overall operations of companies.
format Conference Proceeding
author Napook P.
Eiamkanitchat N.
Suriya K.
Teyakome J.
spellingShingle Napook P.
Eiamkanitchat N.
Suriya K.
Teyakome J.
Neuro-fuzzy system for analysis the overall operations of companies in Thailand
author_facet Napook P.
Eiamkanitchat N.
Suriya K.
Teyakome J.
author_sort Napook P.
title Neuro-fuzzy system for analysis the overall operations of companies in Thailand
title_short Neuro-fuzzy system for analysis the overall operations of companies in Thailand
title_full Neuro-fuzzy system for analysis the overall operations of companies in Thailand
title_fullStr Neuro-fuzzy system for analysis the overall operations of companies in Thailand
title_full_unstemmed Neuro-fuzzy system for analysis the overall operations of companies in Thailand
title_sort neuro-fuzzy system for analysis the overall operations of companies in thailand
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964608037&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42164
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