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"
}