Fuzzy feature evaluation index and connectionist realization - II: Theoretical analysis
被引:4
作者:
Basak, J
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Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
Basak, J
[1
]
De, RK
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Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
De, RK
[1
]
Pal, SK
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Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
Pal, SK
[1
]
机构:
[1] Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
The present article deals with a theoretical analysis of our earlier investigation [1] where we developed a neuro-fuzzy model for feature evaluation. This includes derivation of a fixed upper bound and a varying lower bound of the feature evaluation index. The monotonic increasing behavior of the feature evaluation index with respect to the lower bound is established. A relation of the evaluation index (lower bound) with interclass distance and weighting coefficient is also derived. (C) 1998 Elsevier Science Inc. All rights reserved.