Publication detail

Similarity Measures for Fuzzy Values

DVOŘÁK, J. ŠEDA, M.

English title

Similarity Measures for Fuzzy Values

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

The concept of similarity is the key notion in many fields (e.g. case-based reasoning, multimedia databases, expert systems). In this paper, we study selected similarity measures for fuzzy values. We distinguish measures sensitive and non-sensitive to a distance between fuzzy values. We compare the properties of these measures and propose some combined intersection-sensitive measures and a distance-based measure for fuzzy numbers.

Released

2002-09-01

ISSN

0922-6389

Volume

82

Number

9

Pages from–to

1449–

Pages count

5

BIBTEX


@article{BUT41217,
  author="Jiří {Dvořák} and Miloš {Šeda}",
  title="Similarity Measures for Fuzzy Values",
  journal="Frontiers in Artificial Intelligence and Applications",
  year="2002",
  volume="82",
  number="9",
  pages="5",
  issn="0922-6389"
}