scholarly journals Exploring Multi-Criteria Decision Analysis Method as a Tool to Choose Regional Airport Hubs Within Africa

Author(s):  
B. Ssamula
2020 ◽  
Vol 50 (6) ◽  
pp. 93-105
Author(s):  
V. K. Kalichkin ◽  
O. M. Logacheva ◽  
A. A. Sigitov ◽  
L. V. Garafutdinova

The expediency of joint application of methods of multi-criteria decision analysis of (MCDA) and geoinformation systems (GIS) in order to assess the suitability of lands for cultivation of agricultural crops is substantiated. The implementation of this approach will make it possible to partially automate the process of assessing land. The studies were carried out on the territory of ZAO Mirny, Kochenevsky District, Novosibirsk Region (54°56′24″ N, 82°06′12″ E), located in the forest-steppe zone. Taking into account the peculiarities of the territory under consideration, the following criteria were selected for assessing suitability of lands: drainage condition, soils granulometric composition, contrast of soil cover, working areas elevation pattern, humus layer thickness, ploughness, terrain slope angle, exposure of slopes, erosion degree. The sources of spatial information were land management maps, soil and topographic maps, digital elevation model (DEM), SRTM, ultra-high resolution satellite images. The collection and processing of spatial information was carried out in QuantumGIS (QGIS), which has an open modular architecture. ELECTRE TRI and the hierarchy analysis method were selected for the analytical assessment of information within MCDA. For both methods, there are procedures that are integrated with QGIS. With the help of QGIS GIS tools, the land use of a particular agricultural enterprise was divided into working areas, their boundaries and areas were determined. A method for obtaining an attribute database is described for each criterion. An overview of the ELECTRE TRI methods and the hierarchy analysis method is given, and their launch procedures in QGIS are described. The criteria weights were obtained using the hierarchy analysis method (Easy АНР procedure in QuantumGIS), and the main result – the land suitability map (according to the FAO classification) – was obtained using the ELECTRE TRI method (ELECTRE TRI procedure for QuantumGIS). Since the result of the ELECTRE TRI procedure are two decision maps: according to the pessimistic and optimistic scenarios, additional studies were carried out, on the basis of which it was possible to establish that the map obtained according to the optimistic scenario has a greater consistency with the natural conditions of the agricultural enterprise.


Author(s):  
Roman Vavrek

A technique for Order of Preference by Similarity to Ideal Solution is a multi-criteria decision analysis method used for complex assessment of a set of alternatives. It is often combined with the CV (Coefficient of Variance) method to determine the weight of these criteria to objectify achieved results. Using these methods, we have assessed a group of district towns in the Slovak Republic based on 2016 data by using six budgetary criteria, including maximizing and minimizing ones. The main contribution of this article is the complex assessment of a selected set of territorial administration entities, differences in their results and the importance of selecting the right method to determine weights, which has a significant impact on the overall results. It can be said that there were almost no differences in results among the majority of district towns, there were no significant correlations between the results and the criteria, and there were some common characteristics in the three created clusters. The analysis has confirmed that it is necessary to pay special attention to the selection of criteria and of the method used to determine their weight, as these factors have a significant impact on the overall results of analysis.


2021 ◽  
Vol 7 (10) ◽  
pp. 97813-97830
Author(s):  
Felipe Barbosa Dos Santos ◽  
Marcos Dos Santos ◽  
Paulo César Pellanda

The multi-criteria decision analysis (MCDA) methods seek to support the decision-maker in choosing the most preferable alternative among the various possible ones, considering the criteria that characterize this preference. However, this task can become very complex, depending on the method used. This is because the algorithms of the methods are not always of a simple application. In this way, it is indispensable to develop computational tools that apply the algorithms of MCDA methods, making it feasible to use them. In this context, the computational tool presented in this article was developed. It uses the PrOPPAGA method in the selection problem of the Brazilian Navy's Hospital Assistance Ship Class of (HAS) to cope with the COVID-19 pandemic. The main contribution of this article is to present a tutorial for using this tool, to make its use feasible by society.


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