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Vol.1 , No. 2, Publication Date: Aug. 18, 2016, Page: 67-73
| [1] | Primova H. A., 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. |
This article discusses the construction of a model based on fuzzy inference rules using Z-evaluation, aimed at obtaining conclusions with the use of vague, inaccurate or incomplete initial information. A common approach of computing Z-numbers based on the principle of Zadeh expansion is offered. It outlines the basic arithmetic operations on discrete Z-numbers. We consider three types of fuzzy models for assessing the status of poorly formalized process, the output of which is a linear and non-linear dependence, as well as in the form of fuzzy terms. The computational experiments are done and the results are analyzed.
Keywords
Discrete Z-number, Z-evaluation, Fuzzy Rules, Fuzzy Inference
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