Temat: hierarchical analysis - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Wyznaczanie wag kryteriów w zintegrowanych ocenach budynków
Determining of weights criteria of integrated building evaluations
Autorzy:: Panek, A
Rucińska, J
Powiązania:: https://bibliotekanauki.pl/articles/362364.pdf
Data publikacji:: 2011
Wydawca:: Instytut Fizyki Budowli Katarzyna i Piotr Klemm
Tematy:: analiza hierarchiczna
metody oceny wielokryterialnej
hierarchical analysis
multi-method evaluation
Opis:: W niniejszym artykule scharakteryzowano metody służące do rozwiązywania problemów wielokryterialnych. Opisano także wybrane metody oceny wpływu budynków na środowisko oraz wagi przyjęte w tych systemach. Z przedstawionego przykładu widać, że istnieje rozbieżność w przyporządkowywaniu wag emisji otrzymywanych na podstawie kosztów emisji i wg metody analizy hierarchicznej.
This paper presents the methods for solving multicriteria problems, methods of assessment for building environment efficiency and the weights for these systems. The example shows that there is a discrepancy in attributing emissions weights based on the cost issue and according to the method of analytical hierarchy process.
Źródło:: Fizyka Budowli w Teorii i Praktyce; 2011, T. 6, nr 4, 4; 53-58
1734-4891
Pojawia się w:: Fizyka Budowli w Teorii i Praktyce
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of concepts of the analytic hierarchy process in decision-making
Autorzy:: Krenicky, Tibor
Hrebenyk, Liudmyla
Chernobrovchenko, Vadym
Powiązania:: https://bibliotekanauki.pl/articles/27315536.pdf
Data publikacji:: 2022
Wydawca:: STE GROUP
Tematy:: multicriteria decision-making
hierarchical analysis
analytic hierarchy process
health technology assessment
Opis:: The Analytical Hierarchy Process (AHP) is one of the multi-criteria methods with tools that are effective for decision-making in complementary or alternative medicine (CAM). This approach, in combination with other available methods, such as the Utrecht Method, allows medical professionals and patients themselves to take a balanced choice of special treatment and health control. This is particularly important for pregnant women who suffer from nausea and vomiting during pregnancy (NVP). The mechanisms of toxicosis occur, and the way of treatment have certain uncertainties. The decision-making process for therapeutic care must consider several factors, the determination of which is the result of collaboration between the patient and the healthcare provider. This paper presents the results of a decision-making study regarding the use of the ginger medicinal plant in helping a woman with NVP symptoms. The research was conducted using the original questionnaire according to the methodology proposed by the developers of the Utrecht Method. The chosen respondents were healthcare professionals with experience in treating NVP and pregnant women. The Analytical Hierarchy Process (AHP) capabilities in decisionmaking were shown in an example of analyzing the benefits, risks, and side effects of using ginger during pregnancy. The combination of two methodological approaches allowed to successfully connect the proven facts of using CAM therapy with the subjective assessment of all stakeholders. The study demonstrates that this approach successfully uses decision-making by structuring hierarchical decision elements and weighing the criteria involved in the decision-making issue. The article examines the practicality and effectiveness of using AHP when making decisions regarding the treatment and improvement of the condition of pregnant women with NVP, and summarizes the quantitative and qualitative indicators of the effectiveness of this method. The presented combination of two methodological approaches in decision-making allows for choosing an optimized medical strategy for supporting pregnant women through CAM therapy.
Źródło:: Management Systems in Production Engineering; 2022, 4 (30); 304--310
2299-0461
Pojawia się w:: Management Systems in Production Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Semi-automatic watershed merging method
Autorzy:: Smołka, J.
Skublewska-Paszkowska, M.
Powiązania:: https://bibliotekanauki.pl/articles/106178.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:: watershed
hierarchical cluster analysis
colour images
segmentation
Opis:: Watershed transformation frequently produces over-segmented images. The authors propose a solution to this problem. It utilizes hierarchical cluster analysis for grouping watersheds which are treated as objects characterized by a number of attributes. Initially the watershed merging method was meant only for gray-scale images, but later it was adapted for colour images. This paper presents further extension of the method that allows it to either automatically select the numberof classes or to provide a hint as to which numbers in a specified range should be considered first.Segmentation quality assessment functions for colour images are presented. The results obtained using an extended watershed merging method are discussed. The examples of segmentations selected by the method, along with the graphs of assessment functions, are shown.
Źródło:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2013, 13, 1; 89-97
1732-1360
2083-3628
Pojawia się w:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: An identification source of variation on the water quality pattern in the Malacca River basin using chemometric approach
Autorzy:: Hua, A. K.
Powiązania:: https://bibliotekanauki.pl/articles/204612.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: hierarchical cluster analysis
discriminant analysis
principal component analysis
multiple linear
regression analysis
Opis:: The Malacca River basin experienced river water pollution which caused a major deterioration to the ecosystems and environmental health. This study is carried out to assess the water quality data and identify the pattern of water pollution sources in the study area, and also to develop a predictive performance of water quality in the Malacca River basin. A chemometric approach using a combination of HCA, DA, PCA, and MLR, was applied into twenty water quality variables from nine sampling stations that were collected from January until December of 2015 in the river basin. HCA pointed out three clusters, namely Cluster 1 (C1) with low pollution source, Cluster 2 (C2) with moderate pollution source, and Cluster 3 (C3) with high pollution source. In the DA analysis, the results showed 21 variables, 12 variables, and 9 variables for standard mode, forward stepwise mode, and backward stepwise mode, respectively. Meanwhile, the PCA indicated that the main source of pollutants is detected from residential, industrial, commercial, agricultural, animal livestock, as well as forest land. Among the three models developed from MLR analysis, C3 with a high pollution source is detected to be the most suitable model to be used for the prediction of Water Quality Index in the Malacca River basin. This study proposed for an effective river water quality management by having new water quality monitoring network to be designed for more practical use in order to reduce time and effort, as well as cost saving purposes.
Źródło:: Archives of Environmental Protection; 2018, 44, 4; 111-122
2083-4772
2083-4810
Pojawia się w:: Archives of Environmental Protection
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Analysis of cropping intensity and irrigation intensity in North Twenty Four Parganas district, West Bengal, India
Autorzy:: Mondal, Tarun Kumar
Sarkar, Santana
Powiązania:: https://bibliotekanauki.pl/articles/1954987.pdf
Data publikacji:: 2021-12-10
Wydawca:: Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:: Cropping intensity
hierarchical cluster analysis
irrigation intensity
ANOVA
residual mapping
Opis:: An attempt has been made in this paper to analyse the spatio-temporal variations of cropping intensity and irrigation intensity, and their relationship, in North Twenty Four Parganas district in West Bengal, India from 1996/97 to 2015/16. The relationship between cropping intensity and irrigation intensity has been assessed using partial correlation, residual mapping and hierarchical cluster analysis. One-way ANOVA has been conducted for testing the equality of cluster means. Temporal analysis from 1996/97 to 2015/16 has shown a low positive correlation between cropping intensity and irrigation intensity for the entire district. Analysis at Agricultural Block level has revealed that cropping intensity decreased in many cases even after an increase in irrigation intensity. In general, cropping intensity has increased with the increase in irrigation intensity in the Coastal Saline Region and the Ichhamati Basin, whereas cropping intensity has increased even after a decrease in irrigation intensity in the Gangetic Plains Region in the district.
Źródło:: Miscellanea Geographica. Regional Studies on Development; 2021, 25, 4; 246-258
0867-6046
2084-6118
Pojawia się w:: Miscellanea Geographica. Regional Studies on Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Wybór podwykonawców projektu z zastosowaniem metody analizy hierarchicznej
Selection of subcontractors for a project using the hierarchical analysis method
Autorzy:: Zieliński, B.
Powiązania:: https://bibliotekanauki.pl/articles/162696.pdf
Data publikacji:: 2011
Wydawca:: Polski Związek Inżynierów i Techników Budownictwa
Tematy:: projekt budowlany
zarządzanie projektem
wybór podwykonawcy
analiza hierarchiczna
building project
project management
subcontractor selection
hierarchical analysis
Opis:: Jednym z podstawowych zadań, przed jakimi staje kierownik projektu, jest podejmowanie decyzji dotyczących sposobu realizacji i (ewentualnego) wyboru podwykonawców projektu. Zjawiska analizowane na poszczególnych etapach cyklu życia projektu są bardzo złożone, co wynika z rosnącej liczby analizowanych obiektów oraz złożoności występujących między nimi relacji. Niniejszy artykuł, wprowadzający do praktycznego stosowania metody analizy hierarchicznej, prezentuje możliwości jej zastosowania w procesie wyboru podwykonawców projektu.
One of the principal tasks of a project manager is to take decisions concerning how the project is to be executed, and to select subcontractors where required. The phenomena analysed at particular stages of the project lifecycle are very complex, due to the increasing number of analysed structures and the complexity of the relations between them. This paper, which serves as an introduction to the practical application of the hierarchical analysis method, presents possibilities for the application of that method in the process of selection of subcontractors for a project.
Źródło:: Przegląd Budowlany; 2011, R. 82, nr 7-8, 7-8; 64-68
0033-2038
Pojawia się w:: Przegląd Budowlany
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Application of Multivariate Statistical Methods to the Hydrochemical Study of Groundwater Quality in the Sahel Watershed, Algeria
Autorzy:: Hakim, Djafer Khodja
Amina, Aichour
Amina, Rezig
Djouhra, Baloul
Ahmed, Ferhati
Powiązania:: https://bibliotekanauki.pl/articles/2173331.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: hydrochemical analysis
water quality
groundwater
principal component analysis
hierarchical cluster analysis
Sahel watershed
Opis:: The quality of groundwater is characterized by several numbers of physical and chemical parameters, which determine the use of water (water supply, irrigation, industry). This search paper is a contribution made to know the hydrochemical characteristics of groundwater in the Sahel sub-catchment which belongs to the large Soummam North basin of Algeria. Different multivariate statistical techniques were used such as principal component analysis (PCA), Hierarchical Cluster Analysis (HCA) and Diagram Analysis. These analyses are exercised to a dataset formed from 37 boreholes with 12 chemical variables over the entire surface of the watershed. The samples were collected in 2016. The 37 boreholes are one of the main water resources that supply the wilaya of Bouira with drinking water and irrigation. The analysis of water quality using different methods (ACP, HCA and Diagram) resulted in two chemical kinds: (Chloride, calcium sulfate and magnesium), and (Bicarbonate calcium and magnesium). The results have shown that 74% of the boreholes were contaminated, the rest of boreholes were characterized by a good quality and they have not suffered any contamination and can be consumed without any risk.
Źródło:: Journal of Ecological Engineering; 2022, 23, 8; 341--349
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Use of Multivariate Statistical Analysis of Hydrochemical Data for the Identification of the Geochemical Processes in the Tirana-Fushe Kuqe Alluvial Aquifer, North-Western Albania
Autorzy:: Raço, Endri
Beqiraj, Arjan
Cenameri, Sabina
Jahja, Aurela
Powiązania:: https://bibliotekanauki.pl/articles/2173334.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: Tirana-Fushe Kuqe aquifer
groundwater
multivariate analysis
principal component analysis
hierarchical cluster analysis
Opis:: During the research, 71 groundwater samples were collected over a 300 km2 area of Tirana-Fushe Kuqe alluvial aquifer extension (central-western Albania) and subsequently analyzed for 11 parameters (pH, K+, Na+, Ca2+, Mg2+, HCO3-, Cl-, SO42-, NO3-, TH and TDS). Both geochemical conventional (Piper and Chadha diagrams) methods of groundwater classification and multivariate statistical (principal components analysis – PCA and hierarchical cluster analysis – HCA) methods were applied to the dataset to evidence the geochemical processes controlling groundwater geochemistry evaluation through the aquifer. The conventional geochemical methods revealed four (G1–G4) hydrochemical groups where the dominant group is G2 the samples of which are from unconfined to semiconfined recharge zone and the majority of them have Ca-Mg-HCO3 groundwater. Group G3 includes the samples from the confined coastal aquifer having Na-Cl groundwater. Group G1 includes three groundwater samples of Ca-Mg-SO4 from the central part of the aquifer, while group G4, the samples of which are spatially located between G3 and G2 zones, has Na-HCO3 groundwater. The first four components of the PCA account for 85.35% of the total variance. Component PC1 is characterized by very high positive loadings of TH, Ca2+, and Mg2+, suggesting the importance of dissolution processes in the aquifer recharge zone. Component PC2 is characterized by very high positive loadings in Na+, K+, and Cl-and moderate to high loadings of TDS, revealing the involvement of seawater intrusion and diffusion from clay layers. On the basis of their variable loadings, the first two components are defined as the “hardness” and “salinity”, respectively. The HCA produced four geochemically distinct clusters, C1–C4. The samples of cluster C1 are from the coastal confined aquifer and their groundwater belongs to the Na-Cl type. The samples from cluster C2 are located in the south and east recharge areas and most of them have Ca–Mg–HCO3 groundwater, while the samples from cluster C3, which are located in the northeastern recharge zone, have Mg-Ca–HCO3 groundwater. Finally, cluster C4 includes two groundwater subgroups having Na-Cl-HCO3 and Na-Mg-Cl-HCO3 groundwater in the vicinity of cluster C1 as well as Na-HCO3-Cl and Na-Mg-HCO3-Cl groundwater next to cluster C2 and C3.
Źródło:: Journal of Ecological Engineering; 2022, 23, 8; 327--340
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Kampus AGH w Krakowie oraz tereny pobliskich parków w aspekcie oceny stopnia rewitalizacji
AGH-UST campus area in Kraków and neighbouring parks in the aspect of the assessment of their revitalisation
Autorzy:: Wagner, Aleksandra
Gulin, Vesna
Powiązania:: https://bibliotekanauki.pl/articles/447200.pdf
Data publikacji:: 2014-06
Wydawca:: Instytut Rozwoju Miast
Tematy:: Kampus AGH
Park Jordana w Krakowie
Park Krakowski
analiza hierarchiczna
AGH-UST Campus
Jordan Park in Kraków
hierarchical analysis
Opis:: Kampus AGH leży w pobliżu centrum miasta Krakowa. W jego obrębie znajdują się liczne tereny sportowe, kawiarnie, restauracje oraz kluby. Sąsiaduje on z dwoma dużymi obszarami zieleni miejskiej: Parkiem Jordana i Parkiem Krakowskim, popularnymi terenami rekreacyjnymi. Te powstałe pod koniec XIX w. parki, niegdyś bardzo nowoczesne, w latach powojennych zaczęły podupadać. W latach 90. XX wieku podjęto ich rewitalizację, która trwa do dziś. Prowadzi się też skuteczną rewitalizację samego terenu Kampusu. Procesowi temu często przeszkadzają złe wzorce behawioralne użytkowników. W pracy badano stopień zaśmiecenia terenu. Wybrano trzy obszary o zróżnicowanym stopniu atrakcyjności na terenie kampusu AGH i w jego pobliżu: Park im. dra Henryka Jordana, Miasteczko Studenckie oraz budynki uczelniane wraz z Parkiem Krakowskim. Badania prowadzono w październiku 2013r. Stosując metodę Saaty‟ego do obliczenia względnych wag czynników i oceniając ilość śmieci porównano trzy strefy, mając na uwadze ich atrakcyjność. Najatrakcyjniejsza okazała się strefa budynków uczelnianych, natomiast teren parków spotkał się z mniejszym zainteresowaniem, choć różnice były niewielkie. Park Jordana był najmniej zaśmieconym obszarem. Sam proces rewitalizacji należy ocenić dobrze, natomiast problemem pozostaje utrzymanie terenu w dobrym stanie. Dlatego też istotnego znaczenia nabiera edukacja proekologiczna studentów.
The AGH-UST campus is located within walking distance of the city centre in Kraków and offers a wide range of sports facilities, cafés, restaurants, and student clubs. There are two large green areas near the campus: (1) Henryk Jordan Park (Park Jordana), (2) Park Krakowski, both popular recreational areas. These established at the end of the 19th century parks, once very modern, began to decline after World War II. Revitalisation of the parks has been ongoing since the 1990s. The campus area has also been undergoing revitalisation. This process is often hampered by bad behavioural patterns of local residents. Thus, an assessment of the amount of waste in areas of different attractiveness in the AGH campus area was carried out. Three zones were identified: (1) Henryk Jordan Park, (2) student dormitories, (3) university facilities. The research was carried out in October of 2013. The three zones were compared in terms of their attractiveness. Saaty‟s Method was applied to calculate relative weights. The amount of waste was also analysed. The most attractive part of the campus turned out to be the area with main university buildings, while the local parks seemed to be less attractive, although the differences were small. The smallest amount of waste was found in Jordan‟s Park. The very process of revitalisation should be assessed positively, but the problem is to keep the area in good shape. Thus, the environmental education of university students is important in this case.
Źródło:: Problemy Rozwoju Miast; 2014, 2; 117-126
1733-2435
Pojawia się w:: Problemy Rozwoju Miast
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: The effect of binary data transformation in categorical data clustering
Autorzy:: Cibulková, Jana
Šulc, Zdenek
Sirota, Sergej
Rezanková, Hana
Powiązania:: https://bibliotekanauki.pl/articles/1194463.pdf
Data publikacji:: 2019-07-02
Wydawca:: Główny Urząd Statystyczny
Tematy:: hierarchical cluster analysis
nominal variable
binary variable
categorical data
similarity measures
evaluation criteria
generated data
Opis:: This paper focuses on hierarchical clustering of categorical data and compares two approaches which can be used for this task. The first one, an extremely common approach, is to perform a binary transformation of the categorical variables into sets of dummy variables and then use the similarity measures suited for binary data. These similarity measures are well examined, and they occur in both commercial and non-commercial software. However, a binary transformation can possibly cause a loss of information in the data or decrease the speed of the computations. The second approach uses similarity measures developed for the categorical data. But these measures are not so well examined as the binary ones and they are not implemented in commercial software. The comparison of these two approaches is performed on generated data sets with categorical variables and the evaluation is done using both the internal and the external evaluation criteria. The purpose of this paper is to show that the binary transformation is not necessary in the process of clustering categorical data since the second approach leads to at least comparably good clustering results as the first approach.
Źródło:: Statistics in Transition new series; 2019, 20, 2; 33-47
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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