A Similarity Classifier with Bonferroni Mean Operators
A similarity classifier based on Bonferroni mean based operators is introduced. The new Bonferroni mean based variant of the similarity classifier is also extended to cover a new Bonferroni-OWA variant. The new Bonferroni-OWA based similarity classifier raises the question of how to accomplish the w...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2016/7173054 |
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| _version_ | 1832559925349318656 |
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| author | Onesfole Kurama Pasi Luukka Mikael Collan |
| author_facet | Onesfole Kurama Pasi Luukka Mikael Collan |
| author_sort | Onesfole Kurama |
| collection | DOAJ |
| description | A similarity classifier based on Bonferroni mean based operators is introduced. The new Bonferroni mean based variant of the similarity classifier is also extended to cover a new Bonferroni-OWA variant. The new Bonferroni-OWA based similarity classifier raises the question of how to accomplish the weighting needed and for this reason we also examine a number of linguistic quantifiers for weight generation. The new proposed similarity classifier variants are tested on four real world medical research related data sets. The results are compared with results from two previously presented similarity classifiers, one based on the generalized mean and another based on an arithmetic mean operator. The results show that comparatively better classification accuracy can be reached with the proposed new similarity classifier variants. |
| format | Article |
| id | doaj-art-b06d6e2cf042438c9d38a59d147e3acf |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-b06d6e2cf042438c9d38a59d147e3acf2025-02-03T01:28:50ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2016-01-01201610.1155/2016/71730547173054A Similarity Classifier with Bonferroni Mean OperatorsOnesfole Kurama0Pasi Luukka1Mikael Collan2Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, FinlandLaboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, FinlandSchool of Business and Management, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, FinlandA similarity classifier based on Bonferroni mean based operators is introduced. The new Bonferroni mean based variant of the similarity classifier is also extended to cover a new Bonferroni-OWA variant. The new Bonferroni-OWA based similarity classifier raises the question of how to accomplish the weighting needed and for this reason we also examine a number of linguistic quantifiers for weight generation. The new proposed similarity classifier variants are tested on four real world medical research related data sets. The results are compared with results from two previously presented similarity classifiers, one based on the generalized mean and another based on an arithmetic mean operator. The results show that comparatively better classification accuracy can be reached with the proposed new similarity classifier variants.http://dx.doi.org/10.1155/2016/7173054 |
| spellingShingle | Onesfole Kurama Pasi Luukka Mikael Collan A Similarity Classifier with Bonferroni Mean Operators Advances in Fuzzy Systems |
| title | A Similarity Classifier with Bonferroni Mean Operators |
| title_full | A Similarity Classifier with Bonferroni Mean Operators |
| title_fullStr | A Similarity Classifier with Bonferroni Mean Operators |
| title_full_unstemmed | A Similarity Classifier with Bonferroni Mean Operators |
| title_short | A Similarity Classifier with Bonferroni Mean Operators |
| title_sort | similarity classifier with bonferroni mean operators |
| url | http://dx.doi.org/10.1155/2016/7173054 |
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