Development of a Linear Risk Model Based on Bipolar Fuzzy Sets in Poorly-Formed Processes
Barno SolievaScientific and Innovation Center of Information and Communication Technologies at TUIT, UzbekistanMirzaakbar Xuday BerdievTashkent University of Information technologies named after Muhammad Al-Khwarizmi, UzbekistanAziza MirzaraxmedovaScientific and Innovation Center of Information and Communication Technologies at TUIT, UzbekistanZuxriddinxuja AbdurazzoqxujaevTashkent University of Information technologies named after Muhammad Al-Khwarizmi, Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Аннотация
In the paper a risk strategy is developed that included several steps. The application of bipolar fuzzy sets to assess the risk given by the initial data in the fuzzy state is proposed. The main indicators of risk are given. An algorithm for constructing a bipolar fuzzy model of risk is presented.
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