Normalization in TOPSIS-based approaches with data of different nature: application to the ranking of mathematical videos

Soto, Claudia Margarita Acuña; Liern, Vicente; Pérez-Gladish, Blanca

doi:10.1007/s10479-018-2945-5

Cited by 33 publications

(23 citation statements)

References 45 publications

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“…Both of these areas illustrate the relationship between the natural environment and the economy, emphasizing the transformations taking place in energy use. Selected taxonomic methods were used to study the relationships between these areas: TOPSIS [8] and multicriteria taxonomy [9].…”

Section: Introductionmentioning

confidence: 99%

Environmental Production Efficiency in the European Union Countries as a Tool for the Implementation of Goal 7 of the 2030 Agenda

Cheba

Bąk

2021

Energies

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The main purpose of the paper is to present a proposal to measure the relationships between Goal 7 of the 2030 Agenda for Sustainable Development and one of the areas considered in the green growth concept: environmental production efficiency. Both of these areas illustrate the relationship between the natural environment and the economy, emphasizing transformations in the field of energy use. Selected taxonomic methods, TOPSIS, and multicriteria taxonomy, were applied to study the relationships between the two areas. The results of the EU countries classification showed a variety of countries’ development pathways within a single economic community. Despite continued attempts to equalize the development levels between European Union countries in many strategic areas, they remain highly diversified. That is also true for the areas analyzed in the paper, which is a disturbing situation, indicating that both strategies might not correlate in all respects. Further research into the relationships linking the remaining dimensions of both strategies is required.

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Section: Introductionmentioning

confidence: 99%

Environmental Production Efficiency in the European Union Countries as a Tool for the Implementation of Goal 7 of the 2030 Agenda

Cheba

Bąk

2021

Energies

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“…In Step 2 an interval is determined for each data c ij . By their own construction, these intervals are normalized taking into account additional information, for instance comparison with a prefix pattern (Acuña-Soto et al , 2018) and not based on standard normalization methods (Ouenniche et al , 2018). This fact, together with the fact that distances in Step 5 are given by intervals, as we will see in what follows, determine differences among our method and other methods allowing the application of TOPSIS to intervalar data (see, e.g.…”

Section: Multiple Criteria Ranking Approach In Fuzzy Environmentmentioning

confidence: 99%

A multicriteria assessment model for countries’ degree of preparedness for successful impact investing

León

Liern

Pérez-Gladish

2019

Self Cite

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Purpose In recent years there has been a significant acceleration in the market growth of social impact investing. Policy makers, regulatory bodies and national decision-makers should base their decision-making processes on multiple criteria. These criteria are, by nature, imprecise, ambiguous and uncertain. The purpose of this paper is to provide decision-makers with a mathematical tool which aids them in their decision-making processes identifying the degree of appropriateness of less developed countries in terms of potential success of investment in vaccination campaigns. Design/methodology/approach In this work, the authors have developed a decision-making tool within the framework of multiple criteria decision making and Fuzzy Logic, which aims to aid decision-makers for vaccinations campaigns in less developed countries. In particular, the authors have proposed a Technique for Order Preference by Similarity to Ideal Solution-based method which is able to work in fuzzy environment in order to assess and rank countries based on their fuzzy degree of appropriateness for impact investing in vaccines. Findings The impact investing market provides capital from private sources to address many pressing global challenges such as access to basic services as health. Governments have, therefore, an essential role in supporting the development of this market by improving the risk/return profile of investments through access to credit facilities, tax credits or subsidies or defining the regulation of the supply of investments, provision of technical assistance to investing private companies and co-financing. The proposed framework permits funding decision making taking into account the degree of preparedness and adequacy for impact investing in vaccines of the selected countries. Research limitations/implications Impact investing can play a key role in the reduction of immunization gap offering suitable strategies for both, governments and private investors for the achievement of United Nations Sustainable Development Goals (SDGs). However, in order to make good financial decisions managers should take into account not only health, income, education and other social criteria but also the degree of basic preparedness of the countries in order to ensure the success of the immunization campaigns which means taking into account availability of basic infrastructures, access to electricity, political stability among other criteria. Practical implications However, in order to make good financial decisions managers should take into account not only health, income, education and other social criteria but also the degree of basic preparedness of the countries in order to ensure the success of the immunization campaigns which means taking into account availability of basic infrastructures, access to electricity, political stability among other criteria. Originality/value The proposed model will allow public and private decision makers to make better investment decisions in terms of effectiveness as the provided ranking of countries candidates for the investments is more realistic and takes into account more decision dimensions.

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“…Classical methods of normalization do not always consider situations in which a different nature of data can affect the final outcomes. New methods of normalization are proposed (Acuña, Liern and Pérez-Gladish, 2018), which are based on the similarity of options with respect to the attributes with an ideal solution. Similarly, some authors (Mathew, Sahu and Upadhyay, 2017) suggest the use of a new normalization method, WASPAS (weighted aggregated sum product as- (Vafaei, Ribeiro and Camarinha-Matos, 2018).…”

Section: Previous Researchmentioning

confidence: 99%

(In)consistency of the Selection of the Method of Multiplicative Decision-Making

Račić

2018

ACE

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The paper analyzes the main causes of the (in)consistency of the selected method of multiplicative decision-making: data normalization, weight coefficients and the application of the Likert scale for the purpose of measuring quantitative attributes. Normalized data in the methods of multitributive decision making represents the substitute for a subjective attribute ratings by decision makers. Since they are calculated on the basis of mathematical transformations of empirical data, one gains the impression that the choices basen on normalized values are „objective”. Therefore, the sensitivity analysis of the results has dealt exclusively with effects of weight coefficients on the final choices so far, while the potential impact of normalization is complitely ignored; meanwhile, the deformations caused by the normalization of data have been attributed to the effects of weight coefficients and their inevitable subjectivism. We intent to point out at the deformations of empirical values that are the result of normalization and which call into question the application of normalized values as a deci-sion base. It can be proven that the normalized values are an unrealiableinformation base for decision-making. In addition, the (in)consistency ofselection methods of multi-attributive decision-making is also influencedby changes in the method of measuring and formulating attributes.

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Normalization in TOPSIS-based approaches with data of different nature: application to the ranking of mathematical videos

Cited by 33 publications

References 45 publications

Environmental Production Efficiency in the European Union Countries as a Tool for the Implementation of Goal 7 of the 2030 Agenda

Environmental Production Efficiency in the European Union Countries as a Tool for the Implementation of Goal 7 of the 2030 Agenda

A multicriteria assessment model for countries’ degree of preparedness for successful impact investing

(In)consistency of the Selection of the Method of Multiplicative Decision-Making

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