Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540476931, 9783540498421

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Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_49 ◽

2006 ◽

pp. 467-476

Author(s):

Sung-Kwun Oh ◽

Keon-Jun Park ◽

Witold Pedrycz

Keyword(s):

Fuzzy Systems ◽

Genetic Optimization ◽

Information Granules

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Rough Approximation Operators in Covering Approximation Spaces

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_20 ◽

2006 ◽

pp. 174-182 ◽

Cited By ~ 23

Author(s):

Tong-Jun Li

Keyword(s):

Approximation Spaces ◽

Approximation Operators ◽

Rough Approximation

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The Research of Rough Sets in Normed Linear Space

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_11 ◽

2006 ◽

pp. 91-98 ◽

Cited By ~ 2

Author(s):

Hui Sun ◽

Qing Liu

Keyword(s):

Linear Space ◽

Rough Sets ◽

Normed Linear Space

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Sampling of Virtual Examples to Improve Classification Accuracy for Nominal Attribute Data

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_66 ◽

2006 ◽

pp. 637-646

Author(s):

Yujung Lee ◽

Jaeho Kang ◽

Byoungho Kang ◽

Kwang Ryel Ryu

Keyword(s):

Classification Accuracy ◽

Attribute Data

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Kansei Engineering and Rough Sets Model

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_4 ◽

2006 ◽

pp. 27-37 ◽

Cited By ~ 12

Author(s):

Mitsuo Nagamachi

Keyword(s):

Rough Sets ◽

Kansei Engineering

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Pawlak Rough Set Model, Medical Reasoning and Rule Mining

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_7 ◽

2006 ◽

pp. 53-70 ◽

Cited By ~ 2

Author(s):

Shusaku Tsumoto

Keyword(s):

Rough Set ◽

Rule Mining ◽

Medical Reasoning

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A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_67 ◽

2006 ◽

pp. 647-656 ◽

Cited By ~ 6

Author(s):

A. Guillén ◽

I. Rojas ◽

J. González ◽

H. Pomares ◽

L. J. Herrera ◽

...

Keyword(s):

Clustering Algorithm

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On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_29 ◽

2006 ◽

pp. 264-273 ◽

Cited By ~ 8

Author(s):

Hiroshi Sakai ◽

Michinori Nakata

Keyword(s):

Information Systems ◽

Apriori Algorithm

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Local and Global Approximations for Incomplete Data

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_27 ◽

2006 ◽

pp. 244-253 ◽

Cited By ~ 32

Author(s):

Jerzy W. Grzymala-Busse ◽

Wojciech Rzasa

Keyword(s):

Incomplete Data

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A Proposal for Comparison of Impression Evaluation Data Among Individuals by Using Clustering Method Based on Distributed Structure of Data

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/11908029_92 ◽

2006 ◽

pp. 891-898

Author(s):

Shou Kuroda ◽

Tomohiro Yoshikawa ◽

Takeshi Furuhashi

Keyword(s):

Clustering Method ◽

Evaluation Data ◽

Distributed Structure

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Rough Sets and Current Trends in Computing - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization

Rough Approximation Operators in Covering Approximation Spaces

The Research of Rough Sets in Normed Linear Space

Sampling of Virtual Examples to Improve Classification Accuracy for Nominal Attribute Data

Kansei Engineering and Rough Sets Model

Pawlak Rough Set Model, Medical Reasoning and Rule Mining

A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design

On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems

Local and Global Approximations for Incomplete Data

A Proposal for Comparison of Impression Evaluation Data Among Individuals by Using Clustering Method Based on Distributed Structure of Data

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science
Latest Publications