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EN
A world seen through the lenses of a microscope can lead to exceptional discoveries. Regarding archaeology, it can grant us knowledge about the possible usage of certain artifacts in the past. Previously unrecognized and unclassified fragments of flint and bone can be reinterpreted as a completely different item. Throughout the years there were a small few astounding scientist who laid foundations and improved on this part of archaeology. In this already tight-knit group of researchers there is an even smaller group of people who are interested in applying use-wear analysis to copper-alloy artifacts. It is quite a different approach. You still look for signs of usage or any other traces but the difference in material and overall structure of an artifact makes for quite a difficult task. The multiple issues and setbacks such as corrosion, acidity of the soil, the composition of alloys, conservation or simple mismanagement of an artifact can lead to a lot of misleading conclusions. Despite all those problem you can still gather data from use-wear analysis on metal. But can it be used in forming any sort of narrative or is just a “collection of pretty pictures”?
EN
This article is a continuation of research on the possibilities of the use of fuzzy logic systems and higher-order fuzzy logic to control the air filters to reduce emissions of nitrogen oxides. The control process is non-linear, therefore, it is reasonable to use the fuzzy controllers. Described in this paper an interval-valued fuzzy controller (in sense Mamdani) uses interval-valued fuzzy sets compartments. They describe the use of terms of linguistic levels of nitrogen oxides at the input of the system and the degree of opening of the metering valve in the filter ammonia, based on data obtained from an expert. Using IF-THEN rules interval-valued fuzzy controller calculates the value of the output of the filter set on the basis of the analysis of data-input. The results obtained are very highly consistent with the data provided by the expert and better compared to those obtained with the traditional fuzzy controller, the use of which is presented in the articles.
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