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EN
Global climate change brings with it various natural disasters. In particular, natural disasters such as foods destroy nature and human resources. The food disaster in Kastamonu province, primarily striking Bozkurt district and many other districts in Türkiye on August 11, 2021, causing both life and material losses, has been one of the most devastating disasters in the Black Sea region. In this study, various geospatial and statistical methods were used to produce food hazard susceptibility maps of Kastamonu province. In order to evaluate the food risk in Kastamonu, eleven different variables, i.e. rainfall, slope, elevation, distance from stream, land-use-land cover, lithology, curvature plan, curvature profile, Topographic Wetness Index, Stream Power Index and Normalised Differences Vegetation Index were used. Flooded areas were determined by the Modified Normalised Water Index (MNDWI) on the Google Earth Engine platform using Remote Sensing techniques. Flood points determined on the calculated MNDWI image are divided into 70% training and 30% testing dataset. Geographical Information Systems-based Analytical Hierarchy Process (AHP), Frequency Ratio (FR), and ensemble AHP-FR were used in the creation of food hazard susceptibility maps. The maps were divided into five classes: very low, low, moderate, high, and very high. On the map classified using AHP-FR, areas in high and very high sensitivity classes were calculated as 128.72 km2 and 6.89 km2 , respectively. These calculated areas constitute 0.99% and 0.05% of the entire region. On the other hand, part of Kastamonu province with an area of 484.07 km2 was determined as a moderate-risk area. This area covers 3.71% of the entire province. The remaining part of the province, with an area of 8729.39 km2 and 3697.30 km2 , is classified as very low and low, respectively. These areas cover 66.91% and 28.34% of the entire province, respectively. The study’s accuracy was tested using the receiver operating characteristic curves method. Area under curve values for AHP, FR, and AHP-FR were calculated as 0.965, 0.989, and 0.992, respectively. According to these values, using the AHP-FR ensemble gave more successful results than the other two methods.
PL
Na podstawie preferencji organów zarządzających ruchem autorzy przeanalizowali problem decyzyjny polegający na wyborze wariantu czasowej organizacji ruchu w przypadku, gdy technologia robót drogowych umożliwia wykonanie ich połówkowo lub przy całkowitym zamknięciu ulicy. Analizę wykonano za pomocą metody hierarchicznej AHP. Preferencje organów zarządzających ruchem porównano z preferencjami wykonawców działających w branży drogowej.
EN
Base on the preferences of traffic management institutions, the authors analyzed the decision problem consisting in the selection of the variant of temporary traffic organization in the case when road works technology enables their execution in half or with complete street closure. The analyze was performed by using the Analytical Hierarchy Process. The preferences of traffic management bodies were compared with the preferences of contractors operating in the road engineering.
PL
W niniejszym artykule autorzy zaprezentowali możliwość zastosowania metody analizy hierarchicznej AHP w celu wyboru optymalnego wariantu czasowej organizacji ruchu. Zdefiniowano skończony zbiór wariantów decyzyjnych i kryteriów. Macierz porównań kryteriów określono na podstawie ankiet uzyskanych od wykonawców robót budowlanych. Macierz porównań wariantów decyzyjnych względem kryteriów zdefiniowano na podstawie wiedzy i doświadczenia autorów.
EN
In the article below authors presented the possibility of using the Analytical Hierarchy Process to choose the optimal variant of the temporary traffic organization. The finite set of decision variants and criteria were defined. The criteria matrix comparison was created on the basis of surveys obtained from the contractors of building works. The matrix of decision variants in regard to criteria was determined on the basis the authors’ knowledge and experience.
PL
W artykule przedstawiono możliwość zastosowania metody AHP do podjęcia decyzji dotyczącej wyboru zestawu maszyn do montażu elementów prefabrykowanych. Wybór optymalnego zestawu maszyn wymaga uwzględnienia wielu determinant. Zaprezentowana metoda umożliwia ich analizę w celu podjęcia decyzji wyboru.
EN
This article describes the possible use of the AH P method to take a decision on the choice of a set of machinery for assembly of prefabricated elements. The choice of an optimum set of machinery requires consideration of many determinants. The method presented makes it possible to analyse these in order to take an appropriate decision.
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