Learning rules from crisp attributes by rough sets on the fuzzy class sets

2010 5th International Symposium on Telecommunications ◽

10.1109/istel.2010.5734154 ◽

2010 ◽

Author(s):

Darush Dashchi Rezaee ◽

Ali Soltan Mohammadi

Keyword(s):

Download Full-text

Learning rules from incomplete training examples by rough sets

Expert Systems with Applications ◽

10.1016/s0957-4174(02)00016-7 ◽

2002 ◽

Vol 22 (4) ◽

pp. 285-293 ◽

Author(s):

T HONG ◽

L TSENG ◽

S WANG

Keyword(s):

Learning Rules ◽

Training Examples

Download Full-text

Reducing Irrelevant Relations Facilitates Learning Rules from a Response Series Lacking a Consistent Motor Sequence in Rats

PsycEXTRA Dataset ◽

10.1037/e598112013-111 ◽

2010 ◽

Author(s):

Shannon M. A. Kundey ◽

Stephen B. Fountain

Keyword(s):

Motor Sequence ◽

Download Full-text

Presentation of precedents in decision support system knowledge base under diagnosis of portal cranes on the basis of the rough sets theory

Shipbuilding and marine infrastructure ◽

10.15589/smi20140109 ◽

2014 ◽

Vol 1 (1) ◽

Author(s):

Igor I. Kovalenko ◽

Anton V. Melnik

Keyword(s):

Decision Support ◽

Decision Support System ◽

Knowledge Base ◽

Support System ◽

Rough Sets Theory ◽

Sets Theory ◽

System Knowledge

Download Full-text

BUSINESS FAILURE PREDICTION USING ROUGH SETS: A COMPARISON WITH MULTIVARIATE ANALYSIS TECHNIQUES

FUZZY ECONOMIC REVIEW ◽

10.25102/fer.1999.01.01 ◽

1999 ◽

Vol 04 (01) ◽

Author(s):

C. Zopounidis ◽

M. Doumpos ◽

R. Slowinski ◽

R. Susmaga ◽

A. I. Dimitras

Keyword(s):

Multivariate Analysis ◽

Failure Prediction ◽

Business Failure ◽

Analysis Techniques

Download Full-text

Faculty Opinions recommendation of Synapse elimination and learning rules co-regulated by MHC class I H2-Db.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718337004.793504561 ◽

2015 ◽

Author(s):

Beth Stevens

Keyword(s):

Mhc Class I ◽

Class I ◽

Synapse Elimination ◽

Download Full-text

Approximation Sets of Rough Sets

Journal of Software ◽

10.3724/sp.j.1001.2012.04226 ◽

2012 ◽

Vol 23 (7) ◽

pp. 1745-1759 ◽

Author(s):

Qing-Hua ZHANG ◽

Guo-Yin WANG ◽

Yu XIAO

Keyword(s):

Download Full-text

Analysing diabetes using rough sets

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.2.1 ◽

2020 ◽

pp. 533-538

Author(s):

S. Arjun Raj ◽

M. Vigneshwaran

Keyword(s):

Rough Set ◽

Rough Set Theory ◽

International Diabetes Federation ◽

Published Data ◽

Lower And Upper Approximations

In this article we use the rough set theory to generate the set of decision concepts in order to solve a medical problem.Based on officially published data by International Diabetes Federation (IDF), rough sets have been used to diagnose Diabetes.The lower and upper approximations of decision concepts and their boundary regions have been formulated here.

Download Full-text

A Rough Sets Approach to Teaching Quality Evaluation Modeling and Empirical Analysis

Revista de la Facultad de Ingeniería ◽

10.21311/002.31.6.24 ◽

2016 ◽

Keyword(s):

Empirical Analysis ◽

Quality Evaluation ◽

Teaching Quality ◽

Approach To Teaching

Download Full-text

Comparação entre Redes Neurais Artificiais e Rough Sets para Classificação de Dados

10.21528/cbrn2003-040 ◽

2016 ◽

Author(s):

Renato C. Vieira ◽

Marcelo B. Tenório ◽

Mauro Roisenberg ◽

Paulo S. S. Borges

Keyword(s):

Download Full-text

TL-fuzzy set valued homomorphisms and generalized (I,T)-L-fuzzy rough sets on groups

Filomat ◽

10.2298/fil1713153e ◽

2017 ◽

Vol 31 (13) ◽

pp. 4153-4166

Author(s):

Canan Ekiz ◽

Muhammad Ali ◽

Sultan Yamak

Keyword(s):

Fuzzy Set ◽

Fuzzy Rough Sets

Download Full-text