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EN
Flood modeling provides useful information to assist manage flood hazards and lessen the effects of floods in locations that are vulnerable to flooding. The present research established flood hazard maps for the Ngan Sau, Ngan Pho river basin using GIS technology and the Analytical Hierarchy Process (AHP) method. The precision of flood simulation results is dependent on criteria that cause flooding. The goal of this study was to evaluate the role of relative slope length in flood hazard identification and delineation. The AHP method was used to determine the respective weights of six physical geography and meteorology factors including rainfall, slope, soil, land use, drainage density, and relative slope length. In the process of computing the model, these factors are classified into two groups: group 1 includes five criteria excluding the relative slope length criterion and group 2 has all six parameters. Based on flood warning levels at hydrological stations in the research area during past floods, the results of flood hazard zoning were verified. The obtained findings indicated that map developed from the group of criteria including the relative slope length are more accurate than those generated based on the remaining five factors. The results of the paper can be used as a reference when choosing criteria for creating flood hazard zoning models utilizing a combination the AHP and GIS technology.
PL
Modelowanie powodzi dostarcza przydatnych informacji, które pomagają zarządzać zagrożeniem powodziowym i łagodzić skutki powodzi w lokalizacjach narażonych na powodzie. W ramach niniejszych badań opracowano mapy zagrożenia powodziowego dla dorzeczy rzek Ngan Sau i Ngan Pho przy użyciu technologii GIS i metody Analytical Hierarchy Process (AHP). Dokładność wyników symulacji powodzi zależy od kryteriów powodujących powódź. Celem pracy była ocena roli względnej długości zbocza w identyfikacji i wyznaczaniu zagrożenia powodziowego. Do określenia odpowiednich wag w AHP wykorzystano sześć czynników geograficznych i metrologicznych — opady deszczu, nachylenie, gleba, użytkowanie gruntów, gęstość drenażu i względna długość zbocza. W procesie obliczania modelu czynniki te dzielone są na dwie grupy: grupa 2 obejmuje wszystkie sześć parametrów, natomiast grupa 1 obejmuje pięć kryteriów z wyłączeniem kryterium względnej długości nachylenia. W oparciu o stany ostrzeżeń powodziowych na stacjach hydrologicznych na obszarze badań podczas powodzi, które miały miejsce w przeszłości, zweryfikowano skutki wyznaczania stref zagrożenia powodziowego. Uzyskane wyniki wykazały, że mapy opracowane z grupy kryteriów uwzględniających względną długość nachylenia są dokładniejsze niż mapy wygenerowane na podstawie pozostałych pięciu czynników. Wyniki artykułu mogą posłużyć jako punkt odniesienia przy wyborze kryteriów tworzenia modeli stref zagrożenia powodziowego z wykorzystaniem kombinacji technologii AHP i GIS.
PL
Wytwarzanie energii z odnawialnych źródeł energii (OZE) polega na wykorzystaniu naturalnych zasobów i procesów zachodzących w przyrodzie. Dzięki efektowi fotowoltaicznemu, który umożliwia wytwarzanie energii elektrycznej w wyniku absorpcji światła przez materiały półprzewodnikowe, pozyskiwanie energii słonecznej zyskuje na popularności zarówno wśród konsumentów indywidualnych, jak i przedsiębiorstw. Praca swoim zakresem obejmuje rozpoznanie możliwości wykorzystania zrekultywowanych składowisk odpadów jako potencjalnych lokalizacji farm fotowoltaicznych (PV) na przykładzie województwa małopolskiego. Celem pracy było opracowanie zbioru kryteriów lokalizacyjnych oraz zastosowanie metody AHP, aby wskazać optymalne składowisko, na którym możliwe byłoby wybudowanie farmy PV. Dodatkowo z wykorzystaniem oprogramowania EasySolar dobrano odpowiednią instalację PV dla wskazanego składowiska, określając również potencjalną ilości energii elektrycznej, którą można pozyskać w ciągu roku. Przeprowadzona analiza umożliwiła identyfikację optymalnego składowiska spośród 41 rozpatrywanych lokalizacji. Dla wybranego miejsca zaproponowano zastosowanie modułów PV typu monokrystalicznego (Jinko JKM550M-72HL4-V) o mocy 550 W. Moc zaprojektowanej instalacji wynosi 903 kWp, a potencjalny roczny uzysk energii z tej instalacji szacowany jest na 787,5 MWh.
EN
The generation of energy from renewable energy sources (RES) involves the utilization of natural resources and processes occurring in nature. Thanks to the photovoltaic effect, which allows for the generation of electricity through the absorption of light by semiconductor materials, solar energy harvesting is gaining popularity among both individual consumers and businesses. This work encompasses the identification of the possibilities for utilizing reclaimed waste landfills as potential locations for photovoltaic (PV) farms, exemplified by the Małopolska region. The aim of the study was to develop a set of location criteria and to apply the AHP method to identify the optimal landfill where a PV farm could be built. Additionally, using the EasySolar software, an appropriate PV installation was selected for the indicated landfill, also determining the potential amount of electricity that could be generated over the course of a year. The conducted analysis allowed for the identification of the optimal landfill among 41 considered locations. For the selected site, the use of monocrystalline PV modules (Jinko JKM550M-72HL4-V) with a power output of 550 W was proposed. The designed installation has a capacity of 903 kWp, and the potential annual energy yield from this installation is estimated at 787.5 MWh.
EN
In today’s world, sustainability is crucial, particularly in managing natural resources for sustainable development. Often, environmental impacts of new activities are overlooked, worsening the effects on already vulnerable environments. Our study uses two multi-criteria decision-making tools, MACBETH and AHP, integrated with GIS technology, to evaluate quarry sites in Settat Province, Morocco. This methodology classifies sites by suitability, based on criteria aligned with sustainable development goals. We found a high consistency between MACBETH and AHP, with less than 4% divergence in criteria weighting, confirming the robustness of our integrated approach in making location-based decisions for quarries. The resulting maps clearly delineate zones from unsuitable to highly suitable for quarrying. Beyond assessing current quarrying practices, our findings offer strategic insights for future site planning and establishment, showcasing adaptability and potential for replication. This research provides a practical model for improving material extraction practices, aligning with sustainable development needs, and serving as a valuable tool for policymakers and industry stakeholders.
EN
Using traditional failure mode effects and criticality analysis (FMECA) to analyze the hazard of subway sliding plug door system, there are problems such as easy-to-take repetitive values, irrational allocation of expert's weights, and failure to consider the weights of evaluation factors. To address the above problems, this paper proposes an improved FMECA by using linear interpolation to increase the differentiation of the same fault probability occurrence among various fault modes. Apply the dependent uncertain ordered weighted averaging (DUOWA) algorithm to assign weights to different experts dynamically. The analytic hierarchy process (AHP) is used to endow weights to diverse evaluation factors to make them more suitable for engineering needs. We collected 1,836 days of metro train operation records from the Shanghai subway manufacturing plant and studied 17 common faults. Next, use a reliability-centered maintenance (RCM) strategy to determine maintenance periods for different fault modes. Finally, through the Weibull distribution fitting test, the fault rate function of the door is obtained, and the remaining useful life (RUL) of the door is predicted. The consistency between the vulnerable parts obtained by our proposed method and the statistics of the maintenance records of the subway sliding plug door verifies the effectiveness and reliability of our improved FMECA.
EN
The knowledge of the impact and the load-bearing capacity of unstrengthened/strengthened structures is a crucial source of information about the safety of masonry buildings near deep excavations, especially in dense urban areas. Incorrect calculations made for such designs can seriously affect not only an analyzed object but also the adjacent buildings. The safety of masonry buildings can be determined by many factors that are closely related to the hazards presented during the performance of deep excavations. These factors are at first identified and then prioritized. The AHP process in the multi-criteria analysis was used to support the decision-making process related to the verification of factors affecting the safety assessment of masonry buildings in the area of deep excavations. The proper design of building structures, including the verification of the structure strengthening near deep excavations, was found to be the most significant factor determining the safety of such buildings. The methodology for proceeding with the verification of ultimate (ULS) and serviceability (SLS) limit states in accordance with the literature data, current regulations, such as Eurocode 6 and other design standards, and the know-how of the authors, described in this paper was the next stage of the discussed analysis.
EN
The present research aims to address the drinking water crisis in the Mahan River catchment area resulting from the disruption of groundwater availability due to extensive coal mining. The study uses GIS-based Multi-Criteria Decision Analysis (MCDA) to map the groundwater potential of the area by analysing several factors that affect groundwater availability, including rainfall, water depth, geomorphology, geology, soil, land-cover/land-use, and topographic characteristics derived from DEM. The groundwater potential map created using the MCDA technique classified the area into low, moderate, and high groundwater potential zones. The map was validated and verified using water table depth and electrical conductivity values available in the region, indicating that it can be used to identify groundwater recharging sites. The study’s results show that about 30% of the area has high groundwater potential, and more than 45% of the area has moderate groundwater potential. The information derived from the study can be used for sustainable management and proper planning of groundwater resources in the Mahan River catchment area. Overall, the study presents a useful approach to address the groundwater depletion problem resulting from coal mining activities in the Mahan River catchment area.
EN
Floods are one of the most dangerous natural disasters that humanity has ever faced. In this study, a modified version of D number technique as a suitable form of multi-criteria decision-making (MCDM) approaches was proposed to prioritize flooding in the Sad-Kalan watershed of Iran using some flood related criteria. The proposed method can overcome some shortcomings and uncertainties of the existing MCDM methods. In order to evaluate the performance of the method regarding flood prioritization, its results were compared with the analytic hierarchy process (AHP) technique as mostly frequently used MCDM method. The findings demonstrate that the modified version of D number method provides better results than AHP method. In spite of inherent advantages of D number method, the advantages of the proposed method in relation to existing MCDM are as follows: 1- considering the local and global importance of used criteria, 2- reducing the uncertainty in decision makers’ judgments using employing the concept of Picture fuzzy-AHP, 3- considering the degree of consistency in evaluation of decision makers into calculations. Furthermore, the method is flexible and can be used in any region of the world.
EN
In this global competitive environment, with the recent advancement in information and communication technologies, the industries are adopting new strategies to sustain. Cloud manufacturing is a new technology that utilizes data analytics for better decision-making resulting in more productive, cost, and energy efficient operations. Increasing awareness towards a clean environment and optimum utilization of resources in manufacturing motivate us to study cloud manufacturing in the context of sustainability. Therefore, a significant number of social, environmental, and economic factors of cloud manufacturing are identified through literature review, and experts’ opinions and prioritization of these factors are obtained through the AHP and Fuzzy AHP methods. As per the final results obtained, “Efficient use of resources” is the most significant factor for the adoption of cloud manufacturing process and “Remote material monitoring” is the least significant factor amongst all the factors taken under consideration. The results are found to be consistent and accurate as per the value of consistency ratio. And the percentage obtained for social, environmental, and economic factors proves the cloud manufacturing process to be a sustainable manufacturing process.
9
EN
Purpose: Nowadays there is still low awareness of creating specific supply chain hybrids in a planned manner. This paper focuses on a hybrid of the gresilient chain, which reflects the trend to act for the well-being of the environmental to eliminate disruptions in the flow of goods. The aim of the study is to determine the interdependence of the factors shaping the resilience of the supply chain and to determine which of them contribute the most to the creation of a green chain. Design/methodology/approach: AHP and DAMATEL were used as research tools. A study focused on the cognitive chain is extremely interesting, because it is a global chain in which the main coordinator is relatively small. The subject of the research is the international supply chain of a company that conducts research on engine oils, coolants and fuels for gas engines driving turbines, electric and wind turbines, hydraulic transmissions, etc. Findings: As a result, among other things, it was established, that speed is the factor that is most sensitive to the influence of other factors and, at the same time, the most important from the point of view of recipients. In addition, it was proven that redundancy is essential for creating resilience in the analyzed chain, while transparency is necessary for creating the green chain. It has also been shown that redundancy and cooperation work simultaneously to a great extent for the benefit of both chains. Research limitations/implications: Every supply chain requires a separate study. Practical implications: The results can help managers in implementing the gresilient strategy or in modifying it if it has already been implemented. The work carried out may contribute to the creation of a general matrix containing paths to the expected types of supply chains, taking into account the specificity of input and output connections. Social implications: Gresilient chains are part of the idea of corporate social responsibility. Originality/value: From the standpoint of building up resilience, this is an interesting case, because it is the discussed case does not fit into the concepts of popular models in which agility is promoted as the one that guarantees the resilience of the chain. The study is an expanding knowledge in the field of the gresilient chain, in which research is lacking due to the initial stage of science in this area.
EN
Adopting the relationship marketing approach in health institutions and evaluating the weights of its dimensions will benefit the effectiveness of marketing strategies. This study aimed to determine the critical levels of relationship marketing orientation components in private health institutions using the analytical hierarchy process (AHP). In the study, relationship marketing orientation was evaluated according to six criteria in line with the opinions of five experts for employees and 20 people who previously benefited from health services for their customers. As a result, the criterion with the highest priority value was communication with 0.259, and the best health company A. Furthermore, the AHP method results were compared with TOPSIS, EDAS, and CODAS methods. In addition, the Spearman Correlation method was used to determine the correlation between the results.
EN
This paper presents a study conducted using the Multi-Criteria Analysis (MCA) to explore surface irrigation potential zones in the Didesa sub-basin of the Abay basin in Ethiopia. Physical land features, such as land use / land cover (LULC), slope, soil depth, drainage, and road proximity, along with climate factors like rainfall and evapotranspiration, and population density, were identified as criteria for the exploration. The analytic hierarchy process (AHP) is a powerful structured decision-making technique commonly used for complex multi-criteria analysis problems where multiple criteria need to be considered. The importance of the criteria was prioritised and ranked in the analytic hierarchy process (AHP). Five qualitative-quantitative based surface irrigation potential zones were identified, namely highly suitable (48.40%), moderately suitable (27.26%), marginally suitable (13.27%), not suitable (4.91%), and irrigation constraints (6.16%). The consistency of the AHP technique in the exploration of surface irrigation potential zones is evaluated by the consistency index at CI = 0.011 and confirmed the correctness of weights assigned for the individual key factor in the AHP. The accuracy of the potential zones generated in the AHP was evaluated with ground-truth points and a supervised LULC classification map. Moreover, a good agreement was made among the classes with the kappa index (KI = 0.93). Therefore, the application of the MCA for the exploration of surface irrigation potential zones was successful, and the results of the study will be useful to strengthen the irrigation in the explored potential zones.
EN
This paper uses a case study of an abandoned magnesite mine in the Limpopo Province of South Africa to find ways of identifying post-mining land used from the current uses of the abandoned mine sites or features. The approach used involved carrying out a field characterization of the mine site and documentation of the current uses of the features of the abandoned mine site. The technique used to identify the internal and external factors of the land uses involved analyzing their Strength, Weakness, Opportunities, and Threats. The Analytic Hierarchy Process (AHP) technique was used for further ranking of the land uses to identify the most post-mining or rehabilitation land uses for the different parts of the mine. Lastly, the earthwork requirement in reshaping the terrain of the mine to support the selected land uses was estimated from the 3D-terrain models generated from height data collected using a Real-Time Kinematic Geographical Positioning System. The results of the study identified land use that needs further surface development as the most appropriate for the abandoned Nyala Mine. These land uses demonstrated the potential of addressing the hazards of the mine with the clear promise of improving the socio-economic status of the host communities.
EN
The Assaka watershed is one of the largest watersheds in the Guelmim region in southern Morocco. It is frequently exposed to the many flooding events that can be responsible for many costly human and material damages. This work illustrates a decision-making methodology based on Analytical Hierarchy Process (AHP) and Fuzzy Logic Modelling (FLM), in the order to perform a useful flood susceptibility mapping in the study area. Seven decisive factors were introduced, namely, flow accumulation, distance to the hydrographic network, elevation, slope, LULC, lithology, and rainfall. The susceptibility maps were obtained after normalization and weighting using the AHP, while after Fuzzification as well as the application of fuzzy operators (OR, SUM, PRODUCT, AND, GAMMA 0.9) for the fuzzy logic methods. Thereafter, the flood susceptibility zones were distributed into five flood intensity classes with very high, high, medium, low, and, very low susceptibility. Then validated by field observations, an inventory of flood-prone sites identified by the Draa Oued Noun Hydraulic Watershed Agency (DONHBA) with 71 carefully selected flood-prone sites and GeoEye-1 satellite images. The assessment of the mapping results using the ROC curve shows that the best results are derived from applying the fuzzy SUM (AUC = 0.901) and fuzzy OR (AUC = 0.896) operators. On the other hand, the AHP method (AUC = 0.893) shows considerable mapping results. Then, a comparison of the two methods of SUM fuzzy logic and AHP allowed considering the two techniques as complementary to each other. They can accurately model the flood susceptibility of the Assaka watershed. Specifically, this area is characterized by a high to very high risk of flooding, which was estimated at 67% and 30% of the total study area coverage using the fuzzy logic (SUM operator) and the AHP methods, respectively. Highly susceptible flood areas require immediate action in terms of planning, development, and land use management to avoid any dramatic disaster.
PL
Transformacja energetyczna kraju wymaga zwiększenia udziału odnawialnych źródeł energii (OZE) w strukturze wytwarzania energii. W szczególności dotyczy to zwiększenia udziału energetyki wiatrowej, która już teraz pełni funkcję lidera w produkcji energii elektrycznej z OZE. Rozwój tego obszaru OZE jest nieunikniony, pomimo barier natury społecznej i prawnej. Istniejące opracowania kartograficzne wskazują obszary predysponowane jak i nieprzydatne do lokalizacji farm wiatrowych w ujęciu krajowym. Istotnym jest jednak wskazywanie potencjalnych obszarów na szczeblu lokalnym z uwzględnieniem kryteriów nie tylko przestrzennych, ale także tych, które dotyczą funkcjonalnego charakteru analizowanych obszarów. W pracy przedstawiono autorską metodę wskazywania potencjalnych lokalizacji farm wiatrowych na obszarach wiejskich, przetestowaną na przykładzie gminy Borowa (woj. podkarpackie). Analizy przeprowadzono dla 3 wariantów wysokości siłowni wiatrowych (do 30 m, do 50 m, do 70 m). W wariancie 1 (wiatraki o wysokości do 30 m) wyznaczono 17 lokalizacji, które łącznie stanowią 19% powierzchni gminy, w wariancie 2 wskazano 7 obszarów (9% powierzchni gminy), a wariancie 3 wyznaczono 3 lokalizacje (5% powierzchni gminy). Największa moc zainstalowaną z siłowni wiatrowych można uzyskać dla wariantu 3 (wiatraki do 70 m), pomimo najmniejszej dostępnej powierzchni.
EN
The energy transformation of the country requires an increase in the share of renewable energy sources (RES) in the energy generation structure. This particularly applies to increasing the share of wind energy, which already serves as a leader in electricity production from RES. The development of this renewable energy sector is inevitable, despite social and legal barriers. Existing cartographic studies indicate areas that are predisposed and unsuitable for locating wind farms at the county level. It is important to identify potential areas at the local level, taking into account not only spatial criteria, but also those related to functional characteristics, such as rural areas. This paper presents an original method for identifying potential locations for wind farms in rural areas, tested using the example of the Borowa Commune (Podkarpackie Voivodeship). Analyses were conducted for three height variants of wind turbines (up to 30m, up to 50m, up to 70m). In Variant 1 (wind turbines up to 30m), 17 locations were identified (19% of the commune surface), in Variant 2, 7 areas were indicated (9% of the commune surface), and in Variant 3, 3 locations were identified (5% of the commune surface). The highest installed power can be achieved in Variant 3 (wind turbines up to 70m), despite the fact that the available space is the smallest.
15
EN
The article discusses the methodology of comparative analysis of GIS class computer systems using the AHP method. Eighteen selected GIS systems that meet the criterion of completeness of all data required in the research were fully analysed. The proper comparative features were preceded by the recognition of the market situation in terms of the availability of GIS systems. Eight thematic groups of criteria were used in the research, on the basis of which GIS solutions were selected for comparison. The adopted system selection criteria carry out the selection of objects in a binary manner. The set of features and comparative criteria was created on the basis of our own experience and numerous consultations with specialists and field experts. The selected criteria are the most commonly used and most commonly accepted in the environments that systems of this class use on a daily basis. Both the functional scope (features, functions, properties, advantages and disadvantages) and the degree of fulfillment of subsequent criteria by the considered systems were defined and described.
EN
This paper examines the possibility of locating electric vehicle charging stations using multi-criteria decision analysis (MCDA) and GIS. The study presents an integrated approach, which can be helpful in spatial planning. Recent years have witnessed a growing interest in using alternative power sources for motor vehicles. It is stimulated by top-down factors, such as regulations introduced by the European Commission or the introduction of the so-called “clean transport zones” by some local governments, as well as the bottom-up ones, including the increase in the cost of maintaining fossil fuel-powered cars. Local governments can employ the analysis presented in the paper to find a coherent development strategy for using electric vehicles (EVs) in cities. Based on the verified hypothesis, the Łódź city area has diverse suitability for EV charging stations, with predominant unfavourable regions for such investments. The research aims to find the methodology for performing the suitability analysis to locate new infrastructure elements in an urban space.
PL
W artykule zbadano możliwość lokalizacji stacji ładowania pojazdów elektrycznych pod kątem wykorzystania wielokryterialnej analizy decyzyjnej (ang. Multicriteria Decision Analysis - MCDA) oraz GIS (ang. Geographic Information Systems–systemy informacji geograficznej). W ostatnich latach obserwuje się wzrost zainteresowania wykorzystaniem alternatywnych źródeł napędu pojazdów mechanicznych. Stymulują go zarówno czynniki odgórne jak przepisy wprowadzane przez Komisję Europejską czy wprowadzanie tzw. stref czystego transportu przez niektóre samorządy, ale i oddolne. Te ostatnie obejmują wzrost kosztów utrzymania samochodów napędzanych paliwami ropopochodnymi, co skłania właścicieli samochodów do poszukiwania sposobów ich ograniczenia. Tego typu badania mogą być dalej wykorzystywane przez samorządy w celu znalezienia spójnej strategii rozwoju wykorzystania aut elektrycznych w miastach. W pracy weryfikowana jest hipoteza mówiąca, że obszar miasta Łodzi jest zróżnicowany pod względem przydatności do lokalizacji stacji ładowania samochodów elektrycznych, z przewagą obszarów niekorzystnych dla tego typu inwestycji. Ponadto badania mają na celu znalezienie metodyki umożliwiającej przeprowadzenie analizy przydatności pod kątem lokalizacji nowych elementów infrastruktury w przestrzeni miejskiej.
EN
This research was carried out to analyse the groundwater potential areas in the Nerodime River catchment area. This paper used the standard methodology to determine the potential areas of groundwater resources based on the combated remote sensing, geographic information system, and hierarchical analytical process. In this river catchment area, a total of eight groups of criteria have been selected which have an impact on groundwater storage. Groundwater research would not be possible without the use of various data that have a direct impact on groundwater such as drainage, elevation, geology, land use and land cover, lineament, rainfall, slope, and soil. The results obtained through statistical analysis with software were compared with the data collected in the field, a comparison which resulted in an accuracy of approximately 95%. The results are reflected in table form and using maps also prepared with ArcGIS software.
EN
The use of robotic equipment and a new technique called contour crafting allows for the construction of buildings at lower labor and material costs. The selection of the type of robot is an important factor that affects the overall performance of the contour crafting (CC) system. Various robot configurations, such as gantry, cylindrical, and SCARA, may be employed for contour crafting. There are benefits and drawbacks to using different types of robots for various tasks, including cost, work volume, material compatibility, and precision. Identifying a proper robot using the multi-criterion decision-making (MCDM) technique is crucial for successful building automation. This article uses the analytical hierarchy process (AHP) method to rank the best robots according to several characteristics. Cartesian robots, cylindrical robots, and SCARA robots were evaluated based on cost, accuracy, work volume, surface finish, type of profile, and speed. The results showed that the gantry-type robot is the most suitable option, while the cylindrical robot is unsuitable for building construction due to lower accuracy.
EN
In training process of rail traffic manager (controller) using virtual reality technology, selection of activities among those assigned to a workplace and scenarios that should be taken in training is an important issue. The selection method that is based on performance variability of her/his activities has been proposed in the paper. This variability has been characterized by timing and precision. The traditional reliability and safety analysis methods are not sufficient when building the training program for traffic managers. In the paper the train controller work has been modelled using Functional Resonance Analysis Method (FRAM) that is system oriented approach. Scales of values of timing and precision that are train transport driven have been presented. They are different when comparing with typical timing and precision scales given in FRAM literature. In the paper the estimation of probabilities of occurring of values of timing and precision scales for these activities has been calculated as the mean from the values obtained by questionnaire done in traffic manager community or using Analytic Hierarchy Process (AHP) method. In FRAM with AHP approaches presented in literature, AHP pairwise comparison is executed using natural numbers and their reciprocals what is typical in AHP method. In our paper the AHP is used for estimating the probabilities, so in pairwise comparing the rational numbers are applied, because natural numbers and their reciprocals would limit the set of values of probabilities. The activities and scenarios that the training should be concentrated on are selected from those with the greatest variability.
EN
This article discusses in a simplified manner how to use the multiple functions of the Geographic Information System (GIS) to support the engineering decision for vital and important sites that require the decision-maker to have a high degree of certainty, such as the decision related to choosing the best location for the airport among several sites. This paper aims to provide a practical model that allows for a decision support system on how to adopt a GIS software by both its part Arc-Map and Arc-Catalog combined with analytic hierarchy process (AHP) method to make strategic decisions by spatial and non-spatial analysis to choose the appropriate site for the project as those related to choosing an airport location. Nineteenth criteria were considered to analyze the study area which is represented by three governorates of the middle Euphrates region in Iraq, Babil, Kerbala, and AL-Najaf. Finally, the research presented a practical and efficient approach for the decision maker to select the appropriate location for the airport based on the value of the highest suitability index.
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