A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking

In this paper, a new Fuzzy Set (FS) ranking method (for type-1 and interval type-2 FSs), which is based on the Dempster-Shafer Theory (DST) of evidence with fuzzy targets, is investigated. Fuzzy targets are adopted to reflect human viewpoints on fuzzy ranking. Two important measures in DST, i.e., th...

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Main Authors: Kok, Chin Chai, Tay, Kai Meng, Chee, Peng Lim
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:http://ir.unimas.my/15836/
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http://ir.unimas.my/15836/1/A%20new%20dempster-shafer%20theory-based%20method%20with%20fuzzy%20targets%20for%20fuzzy%20sets%20ranking%20%28abstrak%29.pdf
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spelling unimas-158362017-05-02T02:46:25Z http://ir.unimas.my/15836/ A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking Kok, Chin Chai Tay, Kai Meng Chee, Peng Lim T Technology (General) In this paper, a new Fuzzy Set (FS) ranking method (for type-1 and interval type-2 FSs), which is based on the Dempster-Shafer Theory (DST) of evidence with fuzzy targets, is investigated. Fuzzy targets are adopted to reflect human viewpoints on fuzzy ranking. Two important measures in DST, i.e., the belief and plausibility measures, are used to rank FSs. The proposed approach is evaluated with several benchmark examples. The use of the belief and plausibility measures in fuzzy ranking are discussed and compared. We further analyze the capability of the proposed approach in fulfilling six reasonable fuzzy ordering properties as discussed in [9]-[11]. 2013 Conference or Workshop Item PeerReviewed text en http://ir.unimas.my/15836/1/A%20new%20dempster-shafer%20theory-based%20method%20with%20fuzzy%20targets%20for%20fuzzy%20sets%20ranking%20%28abstrak%29.pdf Kok, Chin Chai and Tay, Kai Meng and Chee, Peng Lim (2013) A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking. In: IEEE International Conference on Fuzzy Systems, 7 July 2013 through 10 July 2013, Hyderabad; India. http://ieeexplore.ieee.org/document/6622358/
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Sarawak
building UNIMAS Institutional Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Kok, Chin Chai
Tay, Kai Meng
Chee, Peng Lim
A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
description In this paper, a new Fuzzy Set (FS) ranking method (for type-1 and interval type-2 FSs), which is based on the Dempster-Shafer Theory (DST) of evidence with fuzzy targets, is investigated. Fuzzy targets are adopted to reflect human viewpoints on fuzzy ranking. Two important measures in DST, i.e., the belief and plausibility measures, are used to rank FSs. The proposed approach is evaluated with several benchmark examples. The use of the belief and plausibility measures in fuzzy ranking are discussed and compared. We further analyze the capability of the proposed approach in fulfilling six reasonable fuzzy ordering properties as discussed in [9]-[11].
format Conference or Workshop Item
author Kok, Chin Chai
Tay, Kai Meng
Chee, Peng Lim
author_facet Kok, Chin Chai
Tay, Kai Meng
Chee, Peng Lim
author_sort Kok, Chin Chai
title A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
title_short A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
title_full A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
title_fullStr A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
title_full_unstemmed A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
title_sort new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
publishDate 2013
url http://ir.unimas.my/15836/
http://ir.unimas.my/15836/
http://ir.unimas.my/15836/1/A%20new%20dempster-shafer%20theory-based%20method%20with%20fuzzy%20targets%20for%20fuzzy%20sets%20ranking%20%28abstrak%29.pdf
first_indexed 2018-09-06T16:25:03Z
last_indexed 2018-09-06T16:25:03Z
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