After a brief introduction of I-fuzzy sets, an overview of the generalization of fuzzy concept for n-dimensional range of the membership function is shown. Then the author introduces the k-component vector valued fuzzy sets, defining some basic and a few special operations on them. Finally, different similarity measures are treated, in order to get a means for classifying fuzzy objects.
|Number of pages||6|
|Journal||Approximate Reasoning in Decis Anal|
|Publication status||Published - Jan 1 1982|
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