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Sovereign Rating Analysis through the Dominance-Based Rough Set Approach

Couto Ayrton Benedito Gaia, Gomes Luiz Flavio Autran Monteiro

Foundations of Computing and Decision Sciences

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2020

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Vol. 45, No. 1

3--16

EN

The classifications of risk made by international rating agencies aim at guiding investors when it comes to the capacity and disposition of the evaluated countries to honor their public debt commitments. In this study, the analysis of economic variables of sovereign rating, in a context of vagueness and uncertainty, leads the inference of patterns (multi-criteria rules) by following the Dominance-based Rough Set Approach (DRSA). The discovery of patterns in data may be useful for subsidizing foreign investment decisions in countries; and this knowledge base may be used in rule-based expert systems (learning from training examples).The present study seeks to complement the analysis produced by an international credit rating agency, Standard & Poor’s (S&P), for the year 2018.

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Możliwości wykorzystania metod wielokryterialnych w projektowaniu e-learningu

Korniejenko K.

Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej

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2017

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Nr 52

51--54

PL

Celem artykułu jest analiza krytyczna możliwości wykorzystania metod wielokryterialnych w projektowaniu szkoleń e-learningowych. Metody wielokryterialne, stosowane do wsparcia procesu decyzyjnego, są odpowiedzią na złożoność współczesnych problemów rozwiązywanych w warunkach niepewności, niepełnych danych oraz zmieniającego się otoczenia. Artykuł prezentuje analizę literatury w aspekcie wykorzystania metod wielokryterialnych we wsparciu e-learningu oraz koncepcję wykorzystania metody Analitycznego Procesu Hierarchicznego (AHP) w projektowaniu kursu e-learningowego.

EN

The aim of the article is to analyze the possibility of using multi-criteria methods for support in the designing e-learning curses. Multi-criteria methods used to support the decision-making process, are a response to the complexity of contemporary issues that in conditions of uncertainty, incomplete data and changing environment. The research methods used in the article are: critical analysis of literature sources and the example of the use of the Analytic Hierarchy Process (AHP) in the design of e-learning course.

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Multi-criteria analysis for solar farm location suitability

Mierzwiak M., Calka B.

Reports on Geodesy and Geoinformatics

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2017

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Vol. 104

20--32

EN

Currently the number of solar farms, as a type of renewable sources of energy, is growing rapidly. Photovoltaic power stations have many advantages, which is an incentive for their building and development. Solar energy is readily available and inexhaustible, and its production is environmentally friendly. In the present study multiple environmental and economic criteria were taken into account to select a potential photovoltaic farm location, with particular emphasis on: protected areas, land cover, solar radiation, slope angle, proximity to roads, built-up areas, and power lines. Advanced data analysis were used because of the multiplicity of criteria and their diverse influence on the choice of a potential location. They included the spatial analysis, the Weighted Linear Combination Technique (WLC), and the Analytic Hierarchy Process (AHP) as a decision-making method. The analysis was divided into two stages. In the first one, the areas where the location of solar farms was not possible were excluded. In the second one, the best locations meeting all environmental and economic criteria were selected. The research was conducted for the Legionowo District, using data from national surveying and mapping resources such as: BDOT10k (Database of Topographic Objects), NMT (Numerical Terrain Model), and lands and buildings register. Finally, several areas meeting the criteria were chosen. The research deals with solar farms with up to 40 kW power. The results of the study are presented as thematic maps. The advantage of the method is its versatility. It can be used not only for any area, but with little modification of the criteria, it can also be applied to choose a location for wind farms.