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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference Proceeding |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964608037&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55544 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Chiang Mai University |
| id |
th-cmuir.6653943832-55544 |
|---|---|
| record_format |
dspace |
| spelling |
th-cmuir.6653943832-555442018-09-05T03:01:09Z Neuro-fuzzy system for analysis the overall operations of companies in Thailand Phichit Napook Narissara Eiamkanitchat Komsan Suriya Jirawat Teyakome Computer Science Engineering © 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. 2018-09-05T02:57:45Z 2018-09-05T02:57:45Z 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/6653943832/55544 |
| institution |
Chiang Mai University |
| building |
Chiang Mai University Library |
| country |
Thailand |
| collection |
CMU Intellectual Repository |
| topic |
Computer Science Engineering |
| spellingShingle |
Computer Science Engineering Phichit Napook Narissara Eiamkanitchat Komsan Suriya Jirawat Teyakome Neuro-fuzzy system for analysis the overall operations of companies in Thailand |
| 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 |
Phichit Napook Narissara Eiamkanitchat Komsan Suriya Jirawat Teyakome |
| author_facet |
Phichit Napook Narissara Eiamkanitchat Komsan Suriya Jirawat Teyakome |
| author_sort |
Phichit Napook |
| 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 |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964608037&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55544 |
| _version_ |
1681424525641646080 |