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

Ziemba, Paweł

doi:10.3390/en14040978

Cited by 27 publications

(16 citation statements)

References 38 publications

(50 reference statements)

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“…For TFN mapping, according to the formula (14), the mapping result will be a TFN

. According to the membership function defined for a TFN [16 , 17] , the fuzzy number values at the indicated points are

. In the case of precision mapping, since none of the preference functions used is an injection (so the preference function can take the same values for two different values on the x -axis), the mapping function described by the formula (18) [18 , 19] should be used to determine the value of the fuzzy number in points (0,0.125,0.75,1).…”

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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“…For TFN mapping, according to the formula (14), the mapping result will be a TFN

. According to the membership function defined for a TFN [16 , 17] , the fuzzy number values at the indicated points are

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

Self Cite

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“…According to the authors, the pandemic is a factor that can influence slow wind farm deployment in the country. Ziemba [52] applied multi-criteria evaluation for the identification of the most effective investments for wind development in Poland under uncertainty. Zeinalnezhad et al [66] highlighted the importance of investments in renewable energy projects for the recovery of the post COVID-19 economy.…”

Section: Impact On Investments In Renewablesmentioning

confidence: 99%

Impact of the COVID-19 Pandemic to the Sustainability of the Energy Sector

Siksnelyte-Butkiene

2021

Sustainability

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In order to control the COVID-19 pandemic, the governments of the world started to implement measures regarding social distance and social contacts, including closures of cities, work and study relocations, and work suspension. The epidemical situation and the lockdown of the economy by governments in various countries caused changes in production, changes in the habits of energy consumers and other energy-related changes. This article analyses the impact of the global pandemic on the energy sector and the relationship with the progress to the sustainability of the energy sector. The systematic literature review was performed in the Web of Science (WoS) database. The research follows recommendations of the SALSA (Search, Appraisal, Synthesis and Analysis) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approaches. A total of 113 relevant articles were selected for the analysis. All selected articles were categorized according to their application and impact areas. The five main impact areas of the COVID-19 pandemic to the sustainability of the energy sector were identified: consumption and energy demand; air pollution; investments in renewable energy; energy poverty; and energy system flexibility. Based on the current research findings and perception of the problem, the main insights for future research in the field are provided.

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“…Fuzzy Comprehensive Evaluation is a famous method and has extensively been applied in many fields including wind farm investments, masonry structure safety, teaching performance, and landslide susceptibility (45)(46)(47)(48). It is able to help the researchers to find out the most important factors that should be prioritized by using mathematics.…”

Section: Description Of Fuzzy Evaluationmentioning

confidence: 99%

Study of the Characteristics and Comprehensive Fuzzy Assessment of Indoor Air Chemical Contamination in Public Buildings

Liang

Zhang

et al. 2021

Front. Public Health

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Quality-of-life is improving daily with continuous improvements in urban modernization, which necessitates more stringent requirements for indoor air quality. Fuzzy assessment enables us to obtain the grade of the evaluation object by compound calculation with the help of membership function and weight coefficient, overcoming the limitations of traditional methods applied to develop environmental quality indices. First, this study continuously measured SO2, O3, NO2, NO, CO, CO2, PM10, PM2.5, and other chemical pollutants during the daytime operating hours of a library and a canteen. We analyzed the concentration distributions of the particles in the air were discussed based on 31 different particle diameters. Finally, the experimental data in department store and waiting hall were analyzed by fuzzy evaluation, with the following results. (1) The library and canteen PM10 concentrations peaked at 07:45 in the morning and was elevated during the afternoon (48.9 and 59 μg/m3, respectively). (2) The Pearson correlation coefficient of the PM10 and PM2.5 concentrations in the library was 0.98. PM10 and SO2 in the canteen were negatively correlated, with a correlation coefficient of −0.65. PM2.5 and PM1 were always highly positively correlated. (3) The high concentration of particles in the library was associated with the small particle size range (0.25~0.45 μm). (4) By applying the fuzzy comprehensive evaluation method, the library grade evaluation was the highest level, and the waiting hall was the lowest. This study enhances our understanding of the indoor chemical contamination relationships for public buildings and highlights the urgent need for improving indoor air quality.

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

Cited by 27 publications

References 38 publications

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

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

Impact of the COVID-19 Pandemic to the Sustainability of the Energy Sector

Study of the Characteristics and Comprehensive Fuzzy Assessment of Indoor Air Chemical Contamination in Public Buildings

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