Detail publikace

Similarity Measures in Case-Based Reasoning

DVOŘÁK, J., HODÁL, J.

Originální název

Similarity Measures in Case-Based Reasoning

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Case-based reasoning (CBR) is a recent approach to problem solving. CBR system solves a new problem by adapting known solutions of similar previously solved problems (cases). Therefore the concept of similarity is the key notion in CBR. A case is characterized by a structure (usually a vector) being composed of attributes. An important task in CBR is to accumulate local similarity measures of attributes into a global similarity measure of the whole object. In this paper we study various similarity measures and possibilities of the accumulation of local measures into the global similarity measure. The main attention is devoted to the fuzzy similarity and fuzzy set-based techniques for matching in the phase of retrieving similar cases.

Klíčová slova v angličtině

Case-based reasoning, retrieval, similarity measures, fuzzy similarity

Autoři

DVOŘÁK, J., HODÁL, J.

Rok RIV

2001

Vydáno

20. 8. 2001

Nakladatel

Hochschule Zittau/Gorlitz

Místo

Zittau

ISBN

3-9808089-0-4

Kniha

Proceedings of the 9th Zittau Fuzzy Colloquium

Strany od

21

Strany do

28

Strany počet

8

BibTex

@inproceedings{BUT3373,
  author="Jiří {Dvořák} and Jaroslav {Hodál}",
  title="Similarity Measures in Case-Based Reasoning",
  booktitle="Proceedings of the 9th Zittau Fuzzy Colloquium",
  year="2001",
  pages="8",
  publisher="Hochschule Zittau/Gorlitz",
  address="Zittau",
  isbn="3-9808089-0-4"
}