Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function
This paper describes an enhancement of fuzzy lattice reasoning (FLR) classifier for pattern classification based on a positive valuation function. Fuzzy lattice reasoning (FLR) was described lately as a lattice data domain extension of fuzzy ARTMAP neural classifier based on a lattice inclusion meas...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2012/206121 |
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| _version_ | 1832564946545672192 |
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| author | Yazdan Jamshidi Khezeli Hossein Nezamabadi-pour |
| author_facet | Yazdan Jamshidi Khezeli Hossein Nezamabadi-pour |
| author_sort | Yazdan Jamshidi Khezeli |
| collection | DOAJ |
| description | This paper describes an enhancement of fuzzy lattice reasoning (FLR) classifier for pattern classification based on a positive valuation function. Fuzzy lattice reasoning (FLR) was described lately as a lattice data domain extension of fuzzy ARTMAP neural classifier based on a lattice inclusion measure function. In this work, we improve the performance of FLR classifier by defining a new nonlinear positive valuation function. As a consequence, the modified algorithm achieves better classification results. The effectiveness of the modified FLR is demonstrated by examples on several well-known pattern recognition benchmarks. |
| format | Article |
| id | doaj-art-3daeb438424443868fb2e532d8cdd82f |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-3daeb438424443868fb2e532d8cdd82f2025-02-03T01:09:47ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/206121206121Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation FunctionYazdan Jamshidi Khezeli0Hossein Nezamabadi-pour1Department of Electrical Engineering, Shahid Bahonar University of Kerman, P.O. Box 76169-133, Kerman, IranDepartment of Electrical Engineering, Shahid Bahonar University of Kerman, P.O. Box 76169-133, Kerman, IranThis paper describes an enhancement of fuzzy lattice reasoning (FLR) classifier for pattern classification based on a positive valuation function. Fuzzy lattice reasoning (FLR) was described lately as a lattice data domain extension of fuzzy ARTMAP neural classifier based on a lattice inclusion measure function. In this work, we improve the performance of FLR classifier by defining a new nonlinear positive valuation function. As a consequence, the modified algorithm achieves better classification results. The effectiveness of the modified FLR is demonstrated by examples on several well-known pattern recognition benchmarks.http://dx.doi.org/10.1155/2012/206121 |
| spellingShingle | Yazdan Jamshidi Khezeli Hossein Nezamabadi-pour Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function Advances in Fuzzy Systems |
| title | Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function |
| title_full | Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function |
| title_fullStr | Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function |
| title_full_unstemmed | Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function |
| title_short | Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function |
| title_sort | fuzzy lattice reasoning for pattern classification using a new positive valuation function |
| url | http://dx.doi.org/10.1155/2012/206121 |
| work_keys_str_mv | AT yazdanjamshidikhezeli fuzzylatticereasoningforpatternclassificationusinganewpositivevaluationfunction AT hosseinnezamabadipour fuzzylatticereasoningforpatternclassificationusinganewpositivevaluationfunction |