Tradeoff search methods between interpretability and accuracy of the identification fuzzy systems based on rules-Reference-Cited by-同舟云学术

Tradeoff search methods between interpretability and accuracy of the identification fuzzy systems based on rules

Published:2017-04 Issue:2 Volume:27 Page:243-265
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Yankovskaya A. E.,Gorbunov I. V.,Hodashinsky I. A.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661817020134.pdf

Reference110 articles.

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3. I. A. Hodashinsky and I. V. Gorbunov, “Algorithms of Tradeoff between accuracy and complexity in the design of fuzzy approximators,” Optoelectron., Instrum. Data Processing 49(6), 67–72 (2013).

4. I. A. Hodashinsky and I. V. Gorbunov, “Methods of construction three-criterial Pareto optimal fuzzy classifiers,” Artif. Intellig. Decision Making. 2, 95–107 (2015).

5. A. Ye. Yankovskaya and A. I. Gedike, “Theoretical base, realization and application of the intelligent system EXAPRAS,” in Proc. East-West Conf. on Artificial Intelligence EWAIC’93. From Theory to Practice (Moscow, 1993), pp. 248–252.

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