### Abstract

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.

Original language | English |
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Pages (from-to) | 151-156 |

Number of pages | 6 |

Journal | Approximate Reasoning in Decis Anal |

Publication status | Published - Jan 1 1982 |

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### ASJC Scopus subject areas

- Engineering(all)