THE IMPROVEMENT OF THE FALSE DETECTION METHOD INFORMATION BASED ON DELPHI EXPERT ASSESSMENT METHOD
DOI:
https://doi.org/10.18372/2310-5461.55.16901Keywords:
false information, expert assessments, quartile, median, confidence interval, limitsAbstract
The method of expert evaluations is an ancient scientific method that allows you to obtain an objective evaluation based on a certain set of individual opinions of experts. The word "expert" (expertus) translated from Latin means "experienced", which, in turn, comes from the word "expire" - to investigate. An expert is a person (specialist) who is entrusted to express an opinion about a controversial or difficult case, since humanity in difficult situations has always tried to take into account the opinion of highly qualified specialists in various spheres of life. With the help of population methods, complex optimization tasks are successfully solved, for example, tasks of automated design, synthesis of complex chemical compounds, optimal control of dynamic systems, etc. The article improves the method of detecting false information based on the method of expert evaluation. The Delphi method of expert evaluations was chosen as the basic method for improvement. Because it has undoubted advantages compared to methods based on the usual statistical processing of the results of individual surveys. In contrast to the existing approach, the improved method allows for the selection of experts, and not for correcting the answers of experts in order to obtain the required result. It is a feature the fact that the selection of experts is done by averaging the scores for each expert. It is the self[1]assessments of the expert and the assessment of the same expert by the working group. This makes it possible to reduce the error of the expert's real assessment. The ability to set a confidence interval for the assessment of false information will allow to obtain results that satisfy the task of detecting false information with appropriate accuracy. But this leads to solving the task of optimizing the evaluation criteria and the time to solve the set task. Therefore, the direction of further research is the task of optimizing evaluation criteria. The scientific novelty consists in substantiating and evaluating the comparative importance of factors that limit the appointment of each individual expert to identify false information using the group expert evaluation method.
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