Fuzzy rule based classification systems for big data with MapReduce: granularity analysis-Reference-Cited by-同舟云学术

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Fuzzy rule based classification systems for big data with MapReduce: granularity analysis

Published:2016-06-06 Issue:4 Volume:11 Page:711-730
ISSN:1862-5347
Container-title:Advances in Data Analysis and Classification
language:en
Short-container-title:Adv Data Anal Classif

Author:

Fernández Alberto,del Río Sara,Bawakid Abdullah,Herrera Francisco

Funder

Spanish Ministry of Science and Technology

Andalusian Research Plan

University of Jaen and Caja Rural Provincial de Jaen

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Statistics and Probability

Link

http://link.springer.com/article/10.1007/s11634-016-0260-z/fulltext.html

Reference35 articles.

1. Chen CP, Zhang C-Y (2014) Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf Sci 275:314–347

2. Chi Z, Yan H, Pham T (1996) Fuzzy algorithms with applications to image processing and pattern recognition. World Scientific, Singapore

3. Cordón O, Herrera F (2000) A proposal for improving the accuracy of linguistic modeling. IEEE Trans Fuzzy Syst 8(3):335–344

4. Cordón O, del Jesus M, Herrera F (1999) A proposal on reasoning methods in fuzzy rule-based classification systems. Int J Approx Reason 20(1):21–45

5. Cordón O, Herrera F, Villar P (2000) Analysis and guidelines to obtain a good fuzzy partition granularity for fuzzy rule-based systems using simulated annealing. Int J Approx Reason 25(3):187–215

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