Avichai Meged

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INTRODUCTION Many types of data in our world are inherently fuzzy. Common vague descriptions such as " tall " or " short " , " skinny " or " fat " are often embedded in databases. Imprecise, uncertain or even incomplete data also reinforce fuzziness and make their representation an acute problem. The problem is acerbated when fuzzy data need to be processed(More)
INTRODUCTION Representing and consequently processing fuzzy data in standard and binary databases is problematic. The problem is further amplified in binary databases where continuous data is represented by means of discrete '1' and '0' bits. As regards classification, the problem becomes even more acute. In these cases, we may want to group objects based(More)
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