Advances in Fuzzy Systems / 2012 / Article / Tab 3

Research Article

Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function

Table 3

Recognition results along with relative ranking by different methods over 6 benchmarks.

Data setβˆ–AlgorithmSOMFuzzy-ARTGRNN F L R π‘₯ F L R π‘Ž F L R 𝑙

Columbia Image 4 3 . 8 7 ( 4 ) 4 0 . 8 1 ( 5 ) 9 0 . 1 6 ( 3 ) 9 4 . 0 3 ( 2 ) πŸ— πŸ’ . πŸ‘ πŸ” ( 𝟏 ) πŸ— πŸ’ . πŸ‘ πŸ” ( 𝟏 )
Image Segmentation 7 9 . 8 6 ( 5 ) 8 8 . 7 1 ( 4 ) 9 2 . 4 3 ( 3 ) πŸ— πŸ‘ . 𝟎 𝟎 ( 𝟏 ) 9 2 . 7 1 ( 2 ) πŸ— πŸ‘ . 𝟎 𝟎 ( 𝟏 )
Pen-based recognition 7 9 . 2 4 ( 6 ) 6 5 . 7 0 ( 5 ) 8 1 . 8 5 ( 2 ) 8 1 . 4 8 ( 3 ) 8 0 . 8 5 ( 4 ) πŸ– 𝟏 . πŸ— 𝟎 ( 𝟏 )
Letter recognition 6 8 . 6 5 ( 5 ) 6 5 . 2 2 ( 6 ) 8 2 . 3 3 ( 4 ) 8 4 . 2 6 ( 2 ) 8 3 . 4 2 ( 3 ) πŸ– πŸ’ . πŸ’ πŸ– ( 𝟏 )
Semion hand recognition 7 1 . 5 6 ( 4 ) 6 8 . 2 7 ( 5 ) 7 8 . 3 4 ( 3 ) 7 8 . 9 7 ( 2 ) 7 8 . 9 7 ( 2 ) πŸ• πŸ— . 𝟏 πŸ– ( 𝟏 )
Optical recognition of handwritten digits 8 7 . 8 7 ( 5 ) 8 8 . 7 6 ( 4 ) πŸ— πŸ’ . πŸ’ πŸ— ( 𝟏 ) 9 3 . 2 7 ( 3 ) 9 3 . 6 0 ( 2 ) 9 3 . 2 7 ( 3 )

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