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Operations on fuzzy numbers

DUBOIS, DIDIER, PRADE, HENRI·1978·International Journal of Systems Science

Abstract

A fuzzy number is a fuzzy subset of the real line whose highest membership values are clustered around a given real number called the mean value ; the membership function is monotonia on both sides of this mean value. In this paper, the usual algebraic operations on real numbers are extended to fuzzy numbers by the use of a fuzzification principle. The practical use of fuzzified operations is shown to be easy, requiring no more computation than when dealing with error intervals in classic tolerance analysis. The field of applications of this approach seems to be large, since it allows many known algorithms to be fitted to fuzzy data.

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Metadata

Authors
DUBOIS, D., & PRADE, H.
Venue
International Journal of Systems Science
Published
1978-06
Volume
9
Issue
6
Pages
613-626
ISSN
  • 0020-7721 (ISSN-L)
  • 1464-5319
OpenAlex
W2069069851
Cited by
2,696
References
0
FWCI
9.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Operations on fuzzy numbers. https://app.cochat.ai/papers/10.1080/00207727808941724
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DUBOIS, D., & PRADE, H. (1978). Operations on fuzzy numbers. International Journal of Systems Science. https://doi.org/10.1080/00207727808941724

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.