Publication detail

Similarity Measures for Fuzzy Values

DVOŘÁK, J. ŠEDA, M.

Czech title

Míry podobnosti pro fuzzy hodnoty.

English title

Similarity Measures for Fuzzy Values

Type

journal article - other

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.

Czech abstract

Koncept podobnosti je klíčovým pojmem v mnoha oborech (např. v případovém usuzování, multimediálních databázích, expertních systémech). V tomto článku studujeme vybrané míry podobnosti pro fuzzy hodnoty. Rozlišujeme míry citlivé a necitlivé na vzdálenost mezi fuzzy hodnotami. Srovnáváme vlastnosti těchto měr a pro fuzzy čísla navrhujeme kombinované míry citlivé na průnik a případně zohledňující i vzdálenost.

English 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.

Keywords in English

similarity measures, fuzzy numbers

RIV year

2002

Released

01.09.2002

ISSN

0922-6389

Volume

82

Number

9

Pages count

5

BIBTEX


@article{BUT41217,
  author="Jiří {Dvořák} and Miloš {Šeda},
  title="Similarity Measures for Fuzzy Values",
  year="2002",
  volume="82",
  number="9",
  month="September",
  issn="0922-6389"
}