| Title | An Approach to Identifying the Type of Uncertainty of Initial Information Based on the Theory of Fuzzy Logic |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Simankov, Vladimir S., Buchatskiy, Pavel Yu., Shopin, Andrey V., Teploukhov, Semen V., Buchatskaya, Victoria V. |
| Conference Name | 2021 XXIV International Conference on Soft Computing and Measurements (SCM) |
| Keywords | Area measurement, Fuzzy logic, measurement uncertainty, membership function, Metrics, pubcrawl, resilience, Resiliency, security, Uncertainty, uncertainty of information |
| Abstract | The article discusses an approach to identifying the uncertainty of initial information based on the theory of fuzzy logic. A system of criteria for initial information is proposed, calculated on the basis of the input sample, and characterizing the measure of uncertainty present in the system. The basic requirements for the choice of membership functions of the fuzzy inference system are indicated and the final integrated output membership function is obtained, which describes the type of uncertainty of the initial information. |
| DOI | 10.1109/SCM52931.2021.9507152 |
| Citation Key | simankov_approach_2021 |
An Approach to Identifying the Type of Uncertainty of Initial Information Based on the Theory of Fuzzy Logic