Fuzzy Ranking Methods and Their Applications
Fuzzy ranking is a procedure used to compare and order a sequence of fuzzy sets (FSs). It is an essential step in fuzzy decision making problems before a final decision can be drawn. While many fuzzy ranking methods are available in the literature, a generic method that can provide appropriate and...
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2016
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| Online Access: | http://ir.unimas.my/id/eprint/26835/1/Cbai.pdf http://ir.unimas.my/id/eprint/26835/4/Chai%20Kok%20Chin%20ft.pdf |
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my-unimas-ir.268352024-03-04T05:12:14Z Fuzzy Ranking Methods and Their Applications 2016 Chai, Kok Chin TK Electrical engineering. Electronics Nuclear engineering Fuzzy ranking is a procedure used to compare and order a sequence of fuzzy sets (FSs). It is an essential step in fuzzy decision making problems before a final decision can be drawn. While many fuzzy ranking methods are available in the literature, a generic method that can provide appropriate and satisfactory solutions across a variety of situations has yet to be developed. Many existing methods are limited to rank either type-l fuzzy sets (TIFSs) or interval type-2 fuzzy sets (lT2FSs), and only few methods can flexibility handle both types of FSs. In particular, fuzzy ranking becomes complicated when FSs are represented by possibility distributions, which can overlap with one another. In this thesis, two new fuzzy ranking methods with different purposes are proposed. The first method ranks both TIFSs and IT2FSs by considering ranking and weighting issues, while the second ranks both TIFSs and IT2FSs by integrating decision makers' viewpoints. Besides that, it is important for a fuzzy ranking method to satisfy a set of reasonable fuzzy ordering properties. As a result, the capability of the proposed fuzzy ranking methods in fulfilling the relevant properties is analyzed and discussed. The usefulness of both methods is demonstrated using real-world applications. The results positively indicate efficacy of the proposed fuzzy ranking methods in solving fuzzy ranking problem as well as complex decision making problems in practical environments. Universiti Malaysia Sarawak (UNIMAS) 2016 Thesis http://ir.unimas.my/id/eprint/26835/ http://ir.unimas.my/id/eprint/26835/1/Cbai.pdf text en public http://ir.unimas.my/id/eprint/26835/4/Chai%20Kok%20Chin%20ft.pdf text en validuser phd doctoral Universiti Malaysia Sarawak (UNIMAS) Faculty of Engineering |
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Universiti Malaysia Sarawak |
| collection |
UNIMAS Institutional Repository |
| language |
English English |
| topic |
TK Electrical engineering Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering Electronics Nuclear engineering Chai, Kok Chin Fuzzy Ranking Methods and Their Applications |
| description |
Fuzzy ranking is a procedure used to compare and order a sequence of fuzzy sets (FSs). It is an essential step in fuzzy decision making problems before a final decision can be drawn. While many fuzzy ranking methods are available in the literature, a generic method that can
provide appropriate and satisfactory solutions across a variety of situations has yet to be developed. Many existing methods are limited to rank either type-l fuzzy sets (TIFSs) or interval type-2 fuzzy sets (lT2FSs), and only few methods can flexibility handle both types of
FSs. In particular, fuzzy ranking becomes complicated when FSs are represented by possibility distributions, which can overlap with one another. In this thesis, two new fuzzy ranking methods with different purposes are proposed. The first method ranks both TIFSs and IT2FSs by considering ranking and weighting issues, while the second ranks both TIFSs and IT2FSs by integrating decision makers' viewpoints. Besides that, it is important for a fuzzy ranking method to satisfy a set of reasonable fuzzy ordering properties. As a result, the
capability of the proposed fuzzy ranking methods in fulfilling the relevant properties is analyzed and discussed. The usefulness of both methods is demonstrated using real-world applications. The results positively indicate efficacy of the proposed fuzzy ranking methods
in solving fuzzy ranking problem as well as complex decision making problems in practical environments. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Chai, Kok Chin |
| author_facet |
Chai, Kok Chin |
| author_sort |
Chai, Kok Chin |
| title |
Fuzzy Ranking Methods and Their Applications |
| title_short |
Fuzzy Ranking Methods and Their Applications |
| title_full |
Fuzzy Ranking Methods and Their Applications |
| title_fullStr |
Fuzzy Ranking Methods and Their Applications |
| title_full_unstemmed |
Fuzzy Ranking Methods and Their Applications |
| title_sort |
fuzzy ranking methods and their applications |
| granting_institution |
Universiti Malaysia Sarawak (UNIMAS) |
| granting_department |
Faculty of Engineering |
| publishDate |
2016 |
| url |
http://ir.unimas.my/id/eprint/26835/1/Cbai.pdf http://ir.unimas.my/id/eprint/26835/4/Chai%20Kok%20Chin%20ft.pdf |
| _version_ |
1794023003641610240 |