Application of Vector Measure Construction Methods to estimate growth factors of fundamental importance for the economy on the example of nations in transition

Miłaszewicz, Danuta; Piwowarski, Mateusz; Nermend, Kesra

doi:10.1016/j.procs.2020.09.262

Cited by 9 publications

(3 citation statements)

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“…In turn, the numerical data contained in the IESRI 2020 edition constitute a reliable basis for the developed model and determine its numerical reliability. As for the directions of further work, an interesting issue may be the use of other MCDA methods to forecast energy security risk such as VMCM [64], Fuzzy ANP [65], or Fuzzy TOPSIS [18].…”

Section: Discussionmentioning

confidence: 99%

Forecasting and Assessment of the Energy Security Risk in Fuzzy Environment

Ziemba

Becker

2021

Energies

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Energy security is of key importance for states and international organizations. An important issue in energy security is the assessment of current and future energy security methods. While the assessment of the current methods is relatively easy, since it is based on recent information, the assessment of the future methods is burdened with uncertainty and is therefore much more difficult. Therefore, the aim of the article is to develop a new approach for assessing current and future energy security issues based on a complex security index, supported by the computationally transparent fuzzy multi-criteria decision analysis (MCDA) method. The use of the fuzzy MCDA methods allows one to capture the uncertainty of assessments and forecasts, and the forecasts themselves were based on the Holt’s method; the international energy security risk index (IESRI) was used as the source of the data to generate the forecasts. The research compared two data sources for forecasts (IESRI categories and metrics) and two methods of forecast fuzzification. As a result, the forecasted assessments and rankings of energy security for the 2020–2030 period were obtained. On the basis of these forecasts, general trends shaping energy security were also indicated.

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Section: Discussionmentioning

confidence: 99%

Forecasting and Assessment of the Energy Security Risk in Fuzzy Environment

Ziemba

Becker

2021

Energies

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“…The compromise solution can also be a set of variants [104,105]. The VMCM (its general assumptions are discussed later in this paper) is an original authors' method whose applicability has already been proven in many studies [99,[106][107][108].…”

Section: Practical Verification Of the Non-typical Objects Problemmentioning

confidence: 99%

The Problem of Non-Typical Objects in the Multidimensional Comparative Analysis of the Level of Renewable Energy Development

2021

Self Cite

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The development of energy from renewable sources is one of the most important aspects of today’s energy industry. The level of this development (production of green energy) is determined by the use of a variety of methods, e.g., the methods of multicriteria and multivariate analysis. The effectiveness of these methods is affected by many factors, and one of them is the appearance of non-typical objects (outliers). This paper investigates the effectiveness of selected methods (TOPSIS, VIKOR, VMCM) in terms of computational robustness to outlier objects. The most effective method in this respect (VMCM) is then applied to study the level of development of renewable energy sources in European countries. The presented research provides the opportunity to carry out a dynamic analysis (for selected base years) of the level of energy generation from diverse renewable sources in reference to the adopted patterns and anti-patterns (European countries). The obtained results are discussed, thus confirming the effectiveness of the proposed methodological approach.

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“…There must be connectivity between the market and production for the consumption of green products and services [33]. The major hurdle for the selection of green careers is the consumption market [34]. If the market accepts the product or services, students will be more motivated towards joining the green careers [14].…”

Section: Literature Reviewmentioning

confidence: 99%