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Color prediction tools for motor oils, which can be used to assess their quality are presented in the paper. Three measuring devices working on optical principle for color prediction was used and compared. Color models and color index are defined by RGB, Lab and LCh color components. It was found that the combined use of seven color indices leads to an increase in accuracy for predicting the value characteristics of motor oils.. The obtained results demonstrate that the algorithm used for the analysis of color characteristics of motor lubricating oils allowed the creation of adequate regression models. The proposed research tools can be used in practice, which enables a quick assessment of the quality of motor oils based on the parameter color.

The article examines the Bulgarian neologisms nomina personalia from the first decade of the 21st century that were formed of the initial abbreviations (for example abeveec, idilec, etc.), proving that the productive basis is not the grapheme combination (ABV, IDIL), but the so-called lexoid (for example [abeve], [idil]). On the grounds of the word formation and morpheme analysis that was performed in advance, the nouns that are directly motivated by the lexoids are organized in wordformation nests, as each derivative is related to its particular and summarizing scheme.