This paper describes an enhancement of fuzzy lattice reasoning (FLR) classifier for pattern classification based on a positive\r\nvaluation function. Fuzzy lattice reasoning (FLR) was described lately as a lattice data domain extension of fuzzy ARTMAP neural\r\nclassifier based on a lattice inclusion measure function. In this work, we improve the performance of FLR classifier by defining\r\na new nonlinear positive valuation function. As a consequence, the modified algorithm achieves better classification results. The\r\neffectiveness of the modified FLR is demonstrated by examples on several well-known pattern recognition benchmarks.
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