Use of the PVM Method Computed in Vector Space of Increments in Decision Aiding Related to Urban Development

Kannchen, Marek; Ziemba, Paweł; Borawski, Mariusz

doi:10.3390/sym11040446

Cited by 10 publications

(7 citation statements)

References 41 publications

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“…On the other hand, FAHP has also been used in investigating the possibility of using a new PVM-VSI method considering the variants in different criteria [24]. Another study [25] used the AHP-GDM methodology to derive a strategic plan for evaluating E-Learning applications using five different approaches at different levels.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

et al. 2020

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Learning using the Internet or training through E-Learning is growing rapidly and is increasingly favored over the traditional methods of learning and teaching. This radical shift is directly linked to the revolution in digital computer technology. The revolution propelled by innovation in computer technology has widened the scope of E-Learning and teaching, whereby the process of exchanging information has been made simple, transparent, and effective. The E-Learning system depends on different success factors from diverse points of view such as system, support from the institution, instructor, and student. Thus, the effect of critical success factors (CSFs) on the E-Learning system must be critically analyzed to make it more effective and successful. This current paper employed the analytic hierarchy process (AHP) with group decision-making (GDM) and Fuzzy AHP (FAHP) to study the diversified factors from different dimensions of the web-based E-Learning system. The present paper quantified the CSFs along with its dimensions. Five different dimensions and 25 factors associated with the web-based E-Learning system were revealed through the literature review and were analyzed further. Furthermore, the influence of each factor was derived successfully. Knowing the impact of each E-Learning factor will help stakeholders to construct education policies, manage the E-Learning system, perform asset management, and keep pace with global changes in knowledge acquisition and management.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

et al. 2020

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“…Further research directions will include further possible applications of the modified fuzzy TOPSIS method. Among such applications are multi-criteria group decision problems where consensus among decision makers is important, such as website evaluations [54], economic problems [55], urban development [56] or software projects [57]. On the other hand, an interesting research topic is also the assessment of renewable energy sources using other methods that take into account the uncertainty of data and preferences, such as NEAT F-PROMETHEE [58] or stochastic PROSA [59,60].…”

Section: Discussionmentioning

confidence: 99%

Multi-Criteria Fuzzy Evaluation of the Planned Offshore Wind Farm Investments in Poland

Ziemba

2021

Energies

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In recent years, the dynamic development of renewable energy has been visible all over the world, including Poland. Wind energy is one of the most used renewable energy sources. In Poland, by 2030, it is planned to commission at least six offshore wind farms with a total capacity of 3.8 GW. It is estimated that these investments will increase Poland’s GDP by approximately PLN 60 billion and increase tax revenues by PLN 15 billion. Therefore, they could be a strong stimulus for the development of the Polish economy and may be of great importance in recovering from the crisis caused by the economic constraints related to the COVID-19 pandemic. The aim of the article is a multi-criteria evaluation of the investments planned in Poland in offshore wind farms and identification of potentially the most economically effective investments. To account for the uncertainty in this decision problem, a modified fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was used and a comprehensive sensitivity analysis was performed. As a result of the research, a ranking of the considered projects was constructed and the most preferred investments were identified. Moreover, it has been shown that all the investments considered are justified and recommended.

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“…Finally, by applying the correction in the preference functions, it reduces the approximation errors that arise in other fuzzy PROMETHEE implementations when mapping fuzzy deviation to the form of a unicriterion preference degree. As a result, the NEAT F-PROMETHEE method is widely used in solving management decision problems [1 , 10 , 14 , 15] . On the other hand, the unavailability of software using the NEAT F-PROMETHEE method significantly reduces its ease of use and discourages potential users and researchers considering using NEAT F-PROMETHEE in their studies.…”

Section: Methods Detailsmentioning

confidence: 99%

Implementation of the new easy approach to fuzzy multi-criteria decision aid in the field of management

Ziemba

2021

MethodsX

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Decision-making is one of the most important management functions and a critical task for managers. The tools that support decision makers in making decisions are Multi-criteria Decision Making/Aid/Analysis (MCDM/MCDA) methods. Since most decisions are made under conditions of uncertainty, the fuzzy MCDM/MCDA methods are particularly important as they allow capturing the uncertainty and imprecision of the information used in making decisions. This method is the Fuzzy Preference Ranking Organization Method for Enrichment Evaluation (Fuzzy PROMETHEE), and its extension in the form of New Easy Approach to Fuzzy PROMETHEE (NEAT F-PROMETHEE). However, the unavailability of software using the NEAT F-PROMETHEE method significantly reduces its ease of use and may discourage potential users and researchers considering using it in their studies. Therefore, to facilitate the use of this MCDA method, the article presents the implementation of NEAT F-PROMETHEE in the MATLAB environment. Moreover, the verification of the developed implementation and its application in the management decision-making problem is presented, together with the analysis of the operation of the mapping correction function used in NEAT F-PROMETHEE. The results obtained with NEAT F-PROMETHEE were compared with the results of the Fuzzy PROMETHEE method which did not apply correction. The analysis shows that the correction applied in NEAT F-PROMETHEE allows obtaining results with a smaller error than the non-corrected implementations of PROMETHEE Fuzzy. Therefore, a more accurate solution of the decision problem is obtained. improving the process of mapping fuzzy numbers in the Fuzzy PROMETHEE method implementing a correction mechanism while mapping trapezoidal fuzzy numbers

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Use of the PVM Method Computed in Vector Space of Increments in Decision Aiding Related to Urban Development

Cited by 10 publications

References 41 publications

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

Multi-Criteria Fuzzy Evaluation of the Planned Offshore Wind Farm Investments in Poland

Implementation of the new easy approach to fuzzy multi-criteria decision aid in the field of management

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