T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap
Fuzzy time series has been used to model observations that contain multiple values. This paper proposes the t-norm of Yager class of subsethood defuzzification to forecast university enrolments based on fuzzy time series and the data of historical enrolments which are adopted from Song and Chissom (...
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| Language: | en |
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Universiti Teknologi MARA Cawangan Pahang
2006
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| Online Access: | https://ir.uitm.edu.my/id/eprint/35954/1/35954.PDF https://ir.uitm.edu.my/id/eprint/35954/ |
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| _version_ | 1833065225779150848 |
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| author | Ramli, Nazirah Md. Tap, Abu Osman |
| author_facet | Ramli, Nazirah Md. Tap, Abu Osman |
| author_sort | Ramli, Nazirah |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Fuzzy time series has been used to model observations that contain multiple values. This paper proposes the t-norm of Yager class of subsethood defuzzification to forecast university enrolments based on fuzzy time series and the data of historical enrolments which are adopted from Song and Chissom (1994). The proposed method applied seven and ten interval with equal length and the max-product and max-min as the composition operator in the fuzzy relations F(t)= F(t-l)oR(t,t-l). The result shows that the t-norm of Yager class of subsethood defuzzification models with (10, max-product) is the best forecasting method in terms of accuracy. The proposed method has also improved the forecasting results by previous researchers. |
| format | Article |
| id | my.uitm.ir-35954 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2006 |
| publisher | Universiti Teknologi MARA Cawangan Pahang |
| record_format | eprints |
| spelling | my.uitm.ir-359542022-09-23T00:19:27Z https://ir.uitm.edu.my/id/eprint/35954/ T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap gading Ramli, Nazirah Md. Tap, Abu Osman Fuzzy arithmetic Error analysis (Mathematics). Theory of errors. Least squares Problems, exercises, etc. Fuzzy time series has been used to model observations that contain multiple values. This paper proposes the t-norm of Yager class of subsethood defuzzification to forecast university enrolments based on fuzzy time series and the data of historical enrolments which are adopted from Song and Chissom (1994). The proposed method applied seven and ten interval with equal length and the max-product and max-min as the composition operator in the fuzzy relations F(t)= F(t-l)oR(t,t-l). The result shows that the t-norm of Yager class of subsethood defuzzification models with (10, max-product) is the best forecasting method in terms of accuracy. The proposed method has also improved the forecasting results by previous researchers. Universiti Teknologi MARA Cawangan Pahang 2006 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/35954/1/35954.PDF T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap. (2006) Jurnal Gading UiTM Pahang <https://ir.uitm.edu.my/view/publication/Jurnal_Gading_UiTM_Pahang/>, 10 (2). pp. 1-11. ISSN 0128-5599 |
| spellingShingle | Fuzzy arithmetic Error analysis (Mathematics). Theory of errors. Least squares Problems, exercises, etc. Ramli, Nazirah Md. Tap, Abu Osman T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap |
| title | T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap |
| title_full | T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap |
| title_fullStr | T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap |
| title_full_unstemmed | T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap |
| title_short | T-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / Nazirah Ramli and Abu Osman Md. Tap |
| title_sort | t-norm of yager class of subsethood defuzzification: improving enrolment forecast in fuzzy time series / nazirah ramli and abu osman md. tap |
| topic | Fuzzy arithmetic Error analysis (Mathematics). Theory of errors. Least squares Problems, exercises, etc. |
| url | https://ir.uitm.edu.my/id/eprint/35954/1/35954.PDF https://ir.uitm.edu.my/id/eprint/35954/ |
| url_provider | http://ir.uitm.edu.my/ |