A Fast and Robust Max-C Projection Fuzzy Autoassociative Memory with Application for Face Recognition

Abstract

Max-C projection autoassociative fuzzy memories (max-C PAFMs) are memory models designed for the storage and recall of fuzzy sets. In few words, a max-C PAFM projects the input fuzzy set into the family of all max-C combinations of the stored items. In this paper, we focus on a particular max-C PAFM called Zadeh max-C PAFM. The Zadeh max-C PAFM is the most robust max-C PAFM with respect to dilative noise. Furthermore, by masking the noise contained in a corrupted input, it exhibits excellent tolerance to any kind of noise. Besides introducing the Zadeh max-C PAFM, in this paper we point out a potential application of the Zadeh max-C PAFM for face recognition.