Fuzzy distances

Josef Bednář

Kybernetika (2005)

  • Volume: 41, Issue: 3, page [375]-388
  • ISSN: 0023-5954

Abstract

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In the paper, three different ways of constructing distances between vaguely described objects are shown: a generalization of the classic distance between subsets of a metric space, distance between membership functions of fuzzy sets and a fuzzy metric introduced by generalizing a metric space to fuzzy-metric one. Fuzzy metric spaces defined by Zadeh’s extension principle, particularly to n are dealt with in detail.

How to cite

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Bednář, Josef. "Fuzzy distances." Kybernetika 41.3 (2005): [375]-388. <http://eudml.org/doc/33760>.

@article{Bednář2005,
abstract = {In the paper, three different ways of constructing distances between vaguely described objects are shown: a generalization of the classic distance between subsets of a metric space, distance between membership functions of fuzzy sets and a fuzzy metric introduced by generalizing a metric space to fuzzy-metric one. Fuzzy metric spaces defined by Zadeh’s extension principle, particularly to $\mathbb \{R\}^\{n\}$ are dealt with in detail.},
author = {Bednář, Josef},
journal = {Kybernetika},
keywords = {fuzzy metric; fuzzy distance; fuzzy metric space; fuzzy contraction; fuzzy metric; fuzzy distance; fuzzy metric space; fuzzy contraction},
language = {eng},
number = {3},
pages = {[375]-388},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Fuzzy distances},
url = {http://eudml.org/doc/33760},
volume = {41},
year = {2005},
}

TY - JOUR
AU - Bednář, Josef
TI - Fuzzy distances
JO - Kybernetika
PY - 2005
PB - Institute of Information Theory and Automation AS CR
VL - 41
IS - 3
SP - [375]
EP - 388
AB - In the paper, three different ways of constructing distances between vaguely described objects are shown: a generalization of the classic distance between subsets of a metric space, distance between membership functions of fuzzy sets and a fuzzy metric introduced by generalizing a metric space to fuzzy-metric one. Fuzzy metric spaces defined by Zadeh’s extension principle, particularly to $\mathbb {R}^{n}$ are dealt with in detail.
LA - eng
KW - fuzzy metric; fuzzy distance; fuzzy metric space; fuzzy contraction; fuzzy metric; fuzzy distance; fuzzy metric space; fuzzy contraction
UR - http://eudml.org/doc/33760
ER -

References

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  1. Bednář J., The fuzzy rational database system FSearch 2, 0. In: Proc. 6th Internat. Conference on Soft Computing MENDEL, Brno 2000, pp. 232–237 
  2. Bednář J., Properties of fuzzy metrics on R n , In: Proc. East West Fuzzy Colloquium 2002 and 10th Zittau Fuzzy Colloquium, Zittau 2002, pp. 2–6 
  3. Gerla G., Volpe R., The definition of distance and diameter in fuzzy set theory, Stutia Univ. Babes–Bolyai Math. 31 (1986), 21–26 (1986) Zbl0594.54004MR0911862
  4. Kaleva O., Seikkala S., 10.1016/0165-0114(84)90069-1, Fuzzy Sets and Systems 12 (1984), 215–229 (1984) Zbl0558.54003MR0740095DOI10.1016/0165-0114(84)90069-1
  5. Klir G., Yuan B., Fuzzy Set and Fuzzy Logic: Theory and Applications, Prentice Hall, Englewood Cliffs, NJ 1995 MR1329731
  6. Mareš M., Computation over Fuzzy Quantities, CRC Press, Boca Raton 1994 Zbl0859.94035MR1327525
  7. Osman A., Fuzzy metric spaces and fixed fuzzy set theorem, Bull. Malaysian Math. Soc. 6 (1983), 1, 1–4 (1983) MR0733877
  8. Rudin W., Real and Complex Analysis, McGraw–Hill, New York 1984 Zbl1038.00002
  9. Szmidt E., Kacprzyk J., 10.1016/S0165-0114(98)00244-9, Fuzzy Sets and Systems 114 (2000), 505–518 Zbl0961.03050MR1775286DOI10.1016/S0165-0114(98)00244-9

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