Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation

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

10.1007/11908029_24 ◽

2006 ◽

pp. 213-223 ◽

Author(s):

Michinori Nakata ◽

Hiroshi Sakai

Keyword(s):

Probabilistic Interpretation ◽

Imprecise Information ◽

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Applying Rough Sets to Data Tables Containing Missing Values

Rough Sets and Intelligent Systems Paradigms - Lecture Notes in Computer Science ◽

10.1007/978-3-540-73451-2_20 ◽

2007 ◽

pp. 181-191 ◽

Author(s):

Michinori Nakata ◽

Hiroshi Sakai

Keyword(s):

Missing Values ◽

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Rule Induction Based on Rough Sets from Possibilistic Data Tables

Lecture Notes in Computer Science - Integrated Uncertainty in Knowledge Modelling and Decision Making ◽

10.1007/978-3-030-14815-7_8 ◽

2019 ◽

pp. 86-97

Author(s):

Michinori Nakata ◽

Hiroshi Sakai

Keyword(s):

Rule Induction ◽

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Rough sets approximations in data tables containing missing values

2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence) ◽

10.1109/fuzzy.2008.4630442 ◽

2008 ◽

Author(s):

Michinori Nakata ◽

Hiroshi Sakai

Keyword(s):

Missing Values ◽

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Combining rough sets learning- and neural learning-method to deal with uncertain and imprecise information

Neurocomputing ◽

10.1016/0925-2312(93)e0046-g ◽

1995 ◽

Vol 7 (1) ◽

pp. 61-84 ◽

Author(s):

R. Yasdi

Keyword(s):

Learning Method ◽

Imprecise Information ◽

Neural Learning

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Applying Rough Sets to Data Tables Containing Possibilistic Information

Rough Sets and Knowledge Technology - Lecture Notes in Computer Science ◽

10.1007/11795131_22 ◽

2006 ◽

pp. 147-155

Author(s):

Michinori Nakata ◽

Hiroshi Sakai

Keyword(s):

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Results From the 2001 National Household Survey on Drug Abuse: Volume II. Technical Appendices and Selected Data Tables

PsycEXTRA Dataset ◽

10.1037/e378882004-001 ◽

2013 ◽

Author(s):

Keyword(s):

Household Survey ◽

National Household Survey ◽

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A Bayesian Approach to Incorporate Imprecise Information on Hydraulic Knowledge in a River Reach and Assess Prediction Uncertainties in Streamflow Data

World Environmental and Water Resources Congress 2018 ◽

10.1061/9780784481400.040 ◽

2018 ◽

Author(s):

Ana Luisa N. A. Osorio ◽

Cássio G. Rampinelli ◽

Dirceu S. Reis

Keyword(s):

Bayesian Approach ◽

Imprecise Information ◽

River Reach ◽

Streamflow Data

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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

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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

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Microprobe analyses of hornblendes from 5 calc-alkalic intrusive complexes, with data tables for other calcic amphiboles and BASIC computer programs for data manipulation

Open-File Report ◽

10.3133/ofr84652 ◽

1984 ◽

Author(s):

Jane Hammarstrom

Keyword(s):

Computer Programs ◽

Data Manipulation ◽

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