Nowadays, integrated land management is generally governed by the principles of sustainability. Land use management usually is grounded in satellite image information. The detection and monitoring of areas of interest in satellite images is a difficult task. We propose a new methodology for the adaptive selection of edge detection algorithms using visual features of satellite images and the multi-criteria decision-making (MCDM) method. It is not trivial to select the most appropriate method for the chosen satellite images as there is no proper algorithm for all cases as it depends on many factors, like acquisition and content of the raster images, visual features of real-world images, and humans’ visual perception. The edge detection algorithms were ranked according to their suitability for the appropriate satellite images using the neutrosophic weighted aggregated sum product assessment (WASPAS) method. The results obtained using the created methodology were verified with results acquired in an alternative way—using the edge detection algorithms for specific images. This methodology facilitates the selection of a proper edge detector for the chosen image content.

During the last decade, researchers put a lot of effort into the development of the multi-criteria decision methods (MCDM) capable of dealing with the uncertainty and vagueness of the initial information. MCDM approaches that work under the environment of the interval-valued neutrosophic sets (IVNS) demonstrate credibility for the analysis of different opinions as well as for the inconsistency of the criteria evaluation data. The novel multicriteria decision-making approach MULTIMOORA-IVNS (multi-objective optimisation by ratio analysis under interval-valued neutrosophic sets) is presented in this paper. A novel heuristic evaluation methodology HEBIN (heuristic evaluation based on interval numbers) that exploits MULTIMOORA-IVNS for the processing of the evaluation results is also presented in this research. HEBIN is able to increase the accuracy of the checklists-based heuristic evaluation and to diminish the impact of the inconsistencies caused by the evaluators. A comparison of six e-commerce websites is introduced to reveal the practicalities of the proposed multicriteria decision-making application.

In the article authors present definitions of the logo, describe the logo appearance, history and significance. A logo is a graphic mark or emblem commonly used by commercial enterprises, “typos” – print. The logo is different from the labels (“Ex Libris”), or trade mark (brand). A properly created logo has specific features: simplicity; it must engage the target audience; longevity; preferred vector format for logo; easy to remember; it needs to have an original idea and form; well-thought out and designed logo becomes the basis for corporate style. The most important thing is that the logo should reflect the company’s or institution’s activities. In order to achieve creative logo designs, computer graphics technology, tools and software should be properly applied. In the paper computer technology and tools for creative logo ideas‘ feasibility and results are described.

The connection has been found between the course of cardiovascular diseases (CVD) and the hard cosmic ray flux (HCRF) near the ground surface in Vilnius. The course of air temperature and number of sunspot was simultaneously considered. The investigation was carried out for the average annual and average monthly values in the period of solar cycle 2001–2012. The course of average annual data is most identical for HCRF and number of sunspot: whereas, it significantly differs from CVD and temperature course. The stable connection between a course of average monthly values of HCRF and CVD is found. Such a connection for temperature and CVD had a negative correlation with coefficient of correlation –0.9. A rather weak correlation was between the change in the number of sunspots another characteristics. Values of correlation coefficient between them were less than 0.4 during all of the solar cycle2001–2012. The exception had taken place at the maximum solar activity, i. e. in 2001 and 2012 when values of correlation coefficient exceeded 0.5. For the short-term prognosis of CVD leaps exceeding average monthly value by 10%in 1–3 days after HCRF decrease according to the proposed criterion, the high efficiency of the results 68–79% was obtained. The variation of sunspot number isn’t connected with these data. A short-term connection between the change in air temperature, the change in the sunspot number and CVD leaps has not been found. The human factor has an additional influence on CVD leaps, which was considered in these studies.