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

Abstract EN

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.