Publication detail

Similarity Measures for Fuzzy Values

DVOŘÁK, J., ŠEDA, M.

Original Title

Similarity Measures for Fuzzy Values

Type

journal article - other

Language

English

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.

Key words in English

similarity measures, fuzzy numbers

Authors

DVOŘÁK, J., ŠEDA, M.

RIV year

2002

Released

1. 9. 2002

ISBN

0922-6389

Periodical

Frontiers in Artificial Intelligence and Applications

Year of study

82

Number

9

State

Kingdom of the Netherlands

Pages from

1449

Pages to

1453

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"
}