Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay
This study proposes a new method for ranking fuzzy numbers based on Jaccard similarity measure index and Yager class t-norm. The procedure of this new ranking method involves six phases which are determining fuzzy maximum and fuzzy minimum, intersection and union of fuzzy numbers, scalar cardinality...
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Faculty of Business Management
2013
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Online Access: | http://ir.uitm.edu.my/id/eprint/8753/ http://ir.uitm.edu.my/id/eprint/8753/1/AJ_NAZIRAH%20RAMLI%20IJUS%2013.pdf |
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uitm-87532019-03-18T06:39:43Z http://ir.uitm.edu.my/id/eprint/8753/ Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay Mohamad, Nurul Haziqah Mohamad, Marina Shohaimay, Fairuz This study proposes a new method for ranking fuzzy numbers based on Jaccard similarity measure index and Yager class t-norm. The procedure of this new ranking method involves six phases which are determining fuzzy maximum and fuzzy minimum, intersection and union of fuzzy numbers, scalar cardinality of fuzzy numbers, fuzzy evidence, fuzzy total evidence and pairwise ranking. The result shows that for certain conditions, the ranking is affected by the values of w and has improved some of the previous results that cannot discriminate the ranking of the fuzzy numbers. Results from this study can be of practical significance to fuzzy decision-making in real situations. Faculty of Business Management 2013 Article NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/8753/1/AJ_NAZIRAH%20RAMLI%20IJUS%2013.pdf Mohamad, Nurul Haziqah and Mohamad, Marina and Shohaimay, Fairuz (2013) Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay. International Journal of Undergraduates Studies, 2 (3). pp. 9-14. ISSN 2289-4242 |
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Universiti Teknologi MARA |
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Online Access |
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English |
description |
This study proposes a new method for ranking fuzzy numbers based on Jaccard similarity measure index and Yager class t-norm. The procedure of this new ranking method involves six phases which are determining fuzzy maximum and fuzzy minimum, intersection and union of fuzzy numbers, scalar cardinality of fuzzy numbers, fuzzy evidence, fuzzy total evidence and pairwise ranking. The result shows that for certain conditions, the ranking is affected by the values of w and has improved some of the previous results that cannot discriminate the ranking of the fuzzy numbers. Results from this study can be of practical significance to fuzzy decision-making in real situations. |
format |
Article |
author |
Mohamad, Nurul Haziqah Mohamad, Marina Shohaimay, Fairuz |
spellingShingle |
Mohamad, Nurul Haziqah Mohamad, Marina Shohaimay, Fairuz Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay |
author_facet |
Mohamad, Nurul Haziqah Mohamad, Marina Shohaimay, Fairuz |
author_sort |
Mohamad, Nurul Haziqah |
title |
Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay |
title_short |
Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay |
title_full |
Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay |
title_fullStr |
Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay |
title_full_unstemmed |
Jaccard index with yager class t-norm for ranking fuzzy numbers / Nazirah Ramli, Nurul Haziqah Mohamad, Marina Mohamad and Fairuz Shohaimay |
title_sort |
jaccard index with yager class t-norm for ranking fuzzy numbers / nazirah ramli, nurul haziqah mohamad, marina mohamad and fairuz shohaimay |
publisher |
Faculty of Business Management |
publishDate |
2013 |
url |
http://ir.uitm.edu.my/id/eprint/8753/ http://ir.uitm.edu.my/id/eprint/8753/1/AJ_NAZIRAH%20RAMLI%20IJUS%2013.pdf |
first_indexed |
2023-09-18T22:47:28Z |
last_indexed |
2023-09-18T22:47:28Z |
_version_ |
1777417320435548160 |