Reduction of Fuzzy Rule Bases Driven by the Coverage of Training Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601DL3" target="_blank" >RIV/61988987:17610/15:A1601DL3 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Reduction of Fuzzy Rule Bases Driven by the Coverage of Training Data

Original language description

We present a technique for size reduction of a base of fuzzy association rules which is created using an automated approach and which is intended for in- ference. Our approach is based on controlling the coverage of training data by the rule base and re-moving only such rules that do not increase that coverage. Experiments show that such reduction is very effective while affecting the outputs of infer- ence only very slightly.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

—

Project

<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proc. of IFSA-EUSFLAT 2015 Conference

ISBN

9789462520776

ISSN

1951-6851

e-ISSN

—

Number of pages

8

Pages from-to

463-470

Publisher name

Atlantis Press

Place of publication

—

Event location

Gijón

Event date

Jan 1, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—