An exploratory study on goal programming as an alternative method to develop prediction equations
One of the most promising techniques for multiple objective decision analysis is goal programming. Goal programming is a powerful tool which draws upon the highly developed and tested technique of linear programming, but provides a simu~taneousolution to a complex system of competing objectives. Lea...
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| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2004
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| الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/7999/1/LauChikKongMFS2004.pdf |
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my-utm-ep.79992018-09-19T05:07:12Z An exploratory study on goal programming as an alternative method to develop prediction equations 2004-10 Lau, Chik Kong QA Mathematics One of the most promising techniques for multiple objective decision analysis is goal programming. Goal programming is a powerful tool which draws upon the highly developed and tested technique of linear programming, but provides a simu~taneousolution to a complex system of competing objectives. Least squares method in regression analysis is also a popular technique used in decision making. It is an approach used in the study of relations between variables, particularly for the purpose of understanding how one variable depends on one or more other variables. However, one of the main problems is that the method of least squares is biased by extreme cases. This study proposes goal programming as an alternative to analyze such problems. The analysis were done by using QM for Windows and MINITAB software package. 2004-10 Thesis http://eprints.utm.my/id/eprint/7999/ http://eprints.utm.my/id/eprint/7999/1/LauChikKongMFS2004.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:11525 masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science |
| institution |
Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| language |
English |
| topic |
QA Mathematics |
| spellingShingle |
QA Mathematics Lau, Chik Kong An exploratory study on goal programming as an alternative method to develop prediction equations |
| description |
One of the most promising techniques for multiple objective decision analysis is goal programming. Goal programming is a powerful tool which draws upon the highly developed and tested technique of linear programming, but provides a simu~taneousolution to a complex system of competing objectives. Least squares method in regression analysis is also a popular technique used in decision making. It is an approach used in the study of relations between variables, particularly for the purpose of understanding how one variable depends on one or more other variables. However, one of the main problems is that the method of least squares is biased by extreme cases. This study proposes goal programming as an alternative to analyze such problems. The analysis were done by using QM for Windows and MINITAB software package. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Lau, Chik Kong |
| author_facet |
Lau, Chik Kong |
| author_sort |
Lau, Chik Kong |
| title |
An exploratory study on goal programming as an alternative method to develop prediction equations |
| title_short |
An exploratory study on goal programming as an alternative method to develop prediction equations |
| title_full |
An exploratory study on goal programming as an alternative method to develop prediction equations |
| title_fullStr |
An exploratory study on goal programming as an alternative method to develop prediction equations |
| title_full_unstemmed |
An exploratory study on goal programming as an alternative method to develop prediction equations |
| title_sort |
exploratory study on goal programming as an alternative method to develop prediction equations |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Science |
| granting_department |
Faculty of Science |
| publishDate |
2004 |
| url |
http://eprints.utm.my/id/eprint/7999/1/LauChikKongMFS2004.pdf |
| _version_ |
1747814718457774080 |