An approach to membrane computing under inexactitude

dc.creatorCasasnovas, Jaume
dc.creatorMiro, Joe
dc.creatorMoya, Manuel
dc.creatorRossello, Francesc
dc.date2004-03-16
dc.date2004-05-11
dc.date.accessioned2026-07-25T16:48:38Z
dc.descriptionIn this paper we introduce a fuzzy version of symport/antiport membrane systems. Our fuzzy membrane systems handle possibly inexact copies of reactives and their rules are endowed with threshold functions that determine whether a rule can be applied or not to a given set of objects, depending of the degree of accuracy of these objects to the reactives specified in the rule. We prove that these fuzzy membrane systems generate exactly the recursively enumerable finite-valued fuzzy sets of natural numbers.
dc.description20 pages, 0 figures
dc.identifierhttps://arxiv.org/abs/cs/0403027
dc.identifierhttp://arxiv.org/abs/cs/0403027
dc.identifier.urihttps://dspace.dare.co.zw/handle/123456789/43246
dc.subjectOther Computer Science
dc.subjectNeural and Evolutionary Computing
dc.subjectF.4.2; F.1.1
dc.titleAn approach to membrane computing under inexactitude
dc.typetext

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