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Vol.1 , No. 2, Publication Date: Aug. 18, 2016, Page: 74-78
| [1] | Mukhamediyeva D. T., Centre for the Development of Software and Hardwarily-Program Complex of Tashkent University of Information Technologies, Tashkent, Uzbekistan. |
| [2] | Niyozmatova N. A., Centre for the Development of Software and Hardwarily-Program Complex of Tashkent University of Information Technologies, Tashkent, Uzbekistan. |
The main characteristics of fuzzy immune algorithms and build a model of fuzzy inference based on the use of immune algorithms are discussed in the paper. The proposed algorithm is built on the basis of the synthesis of normal immune evolutionary approach to the ideas of adaptive optimization. Using this approach the problem of creating a model of fuzzy inference based on the use of immune algorithm is solved and software product is created.
Keywords
Fuzzy Sets, Immune Algorithm, Optimization, Model, Logical Inference, Synthesis, Adaptation
Reference
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