Detail publikačního výsledku

Similarity Measures for Fuzzy Values

DVOŘÁK, J., ŠEDA, M.

Originální název

Similarity Measures for Fuzzy Values

Anglický název

Similarity Measures for Fuzzy Values

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova v angličtině

similarity measures, fuzzy numbers

Autoři

DVOŘÁK, J., ŠEDA, M.

Vydáno

01.09.2002

ISSN

0922-6389

Periodikum

Frontiers in Artificial Intelligence and Applications

Svazek

82

Číslo

9

Stát

Nizozemsko

Strany od

1449

Strany počet

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"
}