Fuzzy logic system for BBT based fertility prediction
This paper introduce a fuzzy logic system for fertility prediction to improve the BBT technique based on FAM. The development of the fertility prediction system using fuzzy logic is motivated by its ability to conduct a complex relationships that its factors, which can address the issue of imprecisi...
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| Format: | Article |
| Language: | en |
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African Journal Online (AJOL)
2017
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| Online Access: | http://eprints.uthm.edu.my/3419/1/AJ%202017%20%28484%29.pdf http://eprints.uthm.edu.my/3419/ http://dx.doi.org/10.4314/jfas.v9i4s.27 |
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| _version_ | 1833417331504578560 |
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| author | Mohd Yazed, Muhammad Syukri Mahmud, Farhanahani Morsin, Marlia |
| author_facet | Mohd Yazed, Muhammad Syukri Mahmud, Farhanahani Morsin, Marlia |
| author_sort | Mohd Yazed, Muhammad Syukri |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper introduce a fuzzy logic system for fertility prediction to improve the BBT technique based on FAM. The development of the fertility prediction system using fuzzy logic is motivated by its ability to conduct a complex relationships that its factors, which can address the issue of imprecision in the fertility prediction. the reference sets of BBT data tested on the fuzzy logic system for the prediction of ovulation and pregnancy, a significant result have been obtained with the accuracy of 95 % and 80 respectively. Besides, this prediction system using fuzzy logic could improve the current practice in the FAM technique by integrating it with an Internet of Things (IoT) technology for automatic BBT charting and monitoring. |
| format | Article |
| id | my.uthm.eprints-3419 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2017 |
| publisher | African Journal Online (AJOL) |
| record_format | eprints |
| spelling | my.uthm.eprints-34192021-11-17T04:10:46Z http://eprints.uthm.edu.my/3419/ Fuzzy logic system for BBT based fertility prediction Mohd Yazed, Muhammad Syukri Mahmud, Farhanahani Morsin, Marlia QA76 Computer software This paper introduce a fuzzy logic system for fertility prediction to improve the BBT technique based on FAM. The development of the fertility prediction system using fuzzy logic is motivated by its ability to conduct a complex relationships that its factors, which can address the issue of imprecision in the fertility prediction. the reference sets of BBT data tested on the fuzzy logic system for the prediction of ovulation and pregnancy, a significant result have been obtained with the accuracy of 95 % and 80 respectively. Besides, this prediction system using fuzzy logic could improve the current practice in the FAM technique by integrating it with an Internet of Things (IoT) technology for automatic BBT charting and monitoring. African Journal Online (AJOL) 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/3419/1/AJ%202017%20%28484%29.pdf Mohd Yazed, Muhammad Syukri and Mahmud, Farhanahani and Morsin, Marlia (2017) Fuzzy logic system for BBT based fertility prediction. Journal of Fundamental and Applied Sciences, 9 (4). pp. 475-491. ISSN 1112-9867 http://dx.doi.org/10.4314/jfas.v9i4s.27 |
| spellingShingle | QA76 Computer software Mohd Yazed, Muhammad Syukri Mahmud, Farhanahani Morsin, Marlia Fuzzy logic system for BBT based fertility prediction |
| title | Fuzzy logic system for BBT based fertility prediction |
| title_full | Fuzzy logic system for BBT based fertility prediction |
| title_fullStr | Fuzzy logic system for BBT based fertility prediction |
| title_full_unstemmed | Fuzzy logic system for BBT based fertility prediction |
| title_short | Fuzzy logic system for BBT based fertility prediction |
| title_sort | fuzzy logic system for bbt based fertility prediction |
| topic | QA76 Computer software |
| url | http://eprints.uthm.edu.my/3419/1/AJ%202017%20%28484%29.pdf http://eprints.uthm.edu.my/3419/ http://dx.doi.org/10.4314/jfas.v9i4s.27 |
| url_provider | http://eprints.uthm.edu.my/ |