In this article, the initial data of the selected input parameters were processed using 7 local criteria, and scientificresearch was conducted on the problem of determining the informativeness of the output parameters as a result of votingand ordering the level of informativeness in relation to the studied object (informativeness by color). In order to increasethe level of accuracy, it has been established that the multi-criteria dispersion method can be used in the formation of aset of informative parameters of input data. As a result, it is possible to solve the problem of forming a set of informativeparameters and assessing the adequacy of the model. In this case, we used existing local criteria, and each criteriondetermines the order of informativeness for each of its parameters based on its own conditions. This repetition is carriedout according to 7 criteria, the results of each criterion are summarized to form an informativeness matrix. As a result,a new multi-criteria dispersion method was created, which clarifies the high adequacy of constructing a mathematicalmodel.
| Mualliflar | Turapov , Ulugbek, Akulbayev , Musabek, Dzhantayeva , Sholpan, Madalieva , Gul’nar |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2026-03-01 |
| Jild | 2 |
| Son | 3 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.19246701 |
DOI: 10.5281/zenodo.19246701 · Maqolaning asl sahifasi
informativeness, ranking, mathematical model, local, criterion, object, multi-criteria, dispersion method
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