On new fuzzy morphological associative memories

Authors:
S. T. Wang;H. J. Lu
Affiliations:
Dept. of Comput. Sci. & Technol., Southern Yangtze Univ., Jiangsu, China;-
Venue:
IEEE Transactions on Fuzzy Systems
Year:
2004

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Abstract

In this paper, the new fuzzy morphological associative memories (FMAMs) based on fuzzy operations (∧,·) and (∨,·) are presented. FMAM with (∨,·) is extremely robust for dilative noise and FMAM with (∧,·) is extremely robust for erosive noise. Autoassociative FMAM has the unlimited storage capability and can converge in one step. The convex autoassociative FMAM can be used to achieve a reasonable tradeoff for the mixed noise. Finally, comparisons between autoassociative FMAM and the famous FAM are discussed. FMAM, as another new encoding way of fuzzy rules, still has a multitude of open problems worthy to explore in the future.