A Method for Determining Informative Components on the Basis of Construction of a Sequence of Decision Rules-Reference-Cited by-同舟云学术

A Method for Determining Informative Components on the Basis of Construction of a Sequence of Decision Rules

Published:2016-03 Issue:2 Volume:52 Page:323-329
ISSN:1060-0396
Container-title:Cybernetics and Systems Analysis
language:en
Short-container-title:Cybern Syst Anal

Author:

Yudin O. K.,Ziatdinov Y. K.,Voronin A. N.,Ilyenko A. V.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s10559-016-9830-5.pdf

Reference6 articles.

1. T. S. Ferguson, Mathematical Statistics: A Decision Theoretic Approach, Academic Press, New York (1967).

2. M. Grendár Jr. and M. Grendár, “Maximum probability and maximum entropy methods: Bayesian interpretation” in: G. Erickson and Y. Zhai (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Melville (2004), pp. 490–494.

3. Tzeng Gwo-Hshiung and Huang Jih-Jeng, Multiple Attribute Decision Making: Methods and Applications, CRC Press, Taylor & Francis Group, Boca Raton–London–New York (2011).

4. J. A. Rice, Mathematical Statistics and Data Analysis, Thomson Books, Belmont (2010).

5. A. N. Voronin, “A method of multicriteria evaluation and optimization of hierarchical systems,” Cybernetics and Systems Analysis, 43, No. 3, 384–390 (2007).

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