Methods of Inference for Logical-Type Systems Based on the Fuzzy Degree of Truth-Reference-Cited by-同舟云学术

Methods of Inference for Logical-Type Systems Based on the Fuzzy Degree of Truth

Published:2018-05 Issue:3 Volume:57 Page:463-470
ISSN:1064-2307
Container-title:Journal of Computer and Systems Sciences International
language:en
Short-container-title:J. Comput. Syst. Sci. Int.

Author:

Mikhelev V. V.,Sinyuk V. G.

Publisher

Pleiades Publishing Ltd

Subject

Applied Mathematics,Computer Networks and Communications,Computer Vision and Pattern Recognition,Information Systems,Theoretical Computer Science,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1134/S1064230718030073.pdf

Reference17 articles.

1. L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes,” IEEE Trans. Syst., Man Cybernet. 3 (1) (1973).

2. E. H. Mamdani, “Application of fuzzy algorithm for control a simple dynamic plant,” Proc. IEEE 121, 1585–1588 (1974).

3. P. M. Larsen, “Industrial applications of fuzzy logic control,” Int. J. Man-Mach. Studies 12, 3–10 (1980).

4. T. Takagi and M. Sugeno, “Fuzzy identification of systems and its applications to modeling and control,” IEEE Trans. Syst. Man Cybernet. 15, 116–132 (1985).

5. Y. Tsukamoto, “An approach to fuzzy reasoning method,” in Advances in Fuzzy Sets: Theory and Applications, Ed. by M. M. Gupta, R. K. Ragade, and R. R. Yager (North-Holland, Amsterdam, 1979), pp. 137–149.

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